Iterative Learning Control with a Forgetting Factor for Consensus Tracking in Multi-Agent Systems

Μέγεθος: px
Εμφάνιση ξεκινά από τη σελίδα:

Download "Iterative Learning Control with a Forgetting Factor for Consensus Tracking in Multi-Agent Systems"

Transcript

1 33 E-mal: :... : Ierave Learg Corol wh a Forgeg Facor for Cosesus racg Mul-Age Sysems Jgy Zheg Xogxog He Ymg Wu Zhehua Q College of Iformao Egeerg Zhejag Uversy of echology Hagzhou 33 Cha E-mal: hxx@zju.edu.c Absrac: Recely erave learg corol (ILC has bee used he feld of he mul-age sysems. I hs paper we frs propose a model for he leader-followg mul-age sysem cosesus racg problem from he perspecve of ILC. ILC s used o esure ha all followg ages perfecly rac he oly leader s rajecory a fe me erval as he erave umber goes o fy. he he forgeg facor s roduced o ILC o deal wh he al sae shf. A suffce codo s proposed o guaraee he forgeg facor ILC cosesus racg acheveme. Fally a smulao example s gve o show he effecveess of he forgeg facor ILC. Key Words: Mul-Age Sysem Cosesus racg Ierave Learg Corol Ial Shf Problem Forgeg Facor. (Iroduco [-5]. UAV.. (leader. - leader-follower [6-8].. [9] []. [-] [ ]. 9 Ah [9]. Lu [3]. Yag [4] /6/$3. c 6 IEEE 6859

2 . ILC.. Meg [5] τ. Yag [6] D. [7] PD.. Yag [8] DPD. Meg [9] LMI. - [] G = ( V E AG V E A G. v V = ej = v vj v v j v j v. v v j (pare. AG = a j aj > v vj E aj = v vj E j. a = =. v = { j: vj v E} v. Δ = j v a j= Δ= dag( Δ Δ Δ Laplaca L=Δ A G. v v j p: v v v vm vs vj v pah v j. spag ree (roo. E G ( V E A. = G. m R R R m. A A. I ( ( roecer. x= [ x x x ] R x x = = x x = x x x x. = max = m A= a j R A A = A A A = max m a j j. ρ( A A. f ( sup = f( = max [ ] f( f( = max [ ] e f(. f( f( e f(. 3.. G = ( V E AG. d v v. v d > d = h Chese Corol ad Decso Coferece (CCDC

3 G = ( V v E AG E = E v v AG = d AG D= dag( d d d. d = ( d d d : G = ( V E. G = ( V E. x ( = f( x( + Bu( y( = Cx( ( s x R ( u R ( m y R. x ( = f ( x( + Bu(. y( = Cx( : f( x ( Lpschz f( x( f( x( b x( x (. f 3: CB. 4: IIC Idecal Ial Codo x ( = x (. y ( = = y y ( = y ( [ ] =. 3. y (. yj ( v j. 4 ξ ( = a ( y ( y ( + d ( y ( y ( j j j e( = y ( y(. 5 (4(5 ξ( = [ ξ ( ξ ( ξ ( ] E ( = [ e ( e ( e (] (4(5.6 ξ ( = a ( e( e ( + d e ( j j j (6 ξ ( = ( L Im E ( + ( D Im E(. 7 = [( L+ D I ] E( u+ ( = ( α u ( + αu ( +Γξ ( 8 m Γ R < u (. m U( = [ u ( u ( u (] X( = [ x ( x ( x (] Y( = [ y ( y ( y (] Φ= dag[ α α α ] Γ= dag[ Γ Γ Γ ] ( X ( = F( x( + ( I B U( 9 Y( = ( I C X( F( x( = dag ( f ( x( f ( x (. U ( = [ u ( u ( u ( ] (8 U+ ( = [( I Φ I] U( + [ Φ I] U( +Γ [( L+ D I ] E ( 4. : 8-4 Φ Γ ( I [( ( I B ρ ( Φ I Γ L+ D Im] C < u u y y. α. : + u ( u+ ( = ( α( u ( u ( + α ( u ( u ( Γ ξ ( m α (5 u( U+ ( = [( I Φ I]( u( U ( + [ Φ I]( u( U( Γ [( L+ D Im] E ( Δ U ( = u ( U (. (3 6 8h Chese Corol ad Decso Coferece (CCDC 686

4 . Γ=Γ [( L+ D Im = [( I Φ + I] + [ Φ I] Γ [( L+ D Im] E = [( I Φ I] + [ Φ I] Γ E E = y Y = ( Cf ( x + CBu { ( I C[ f ( X + ( I B U]} = ( Cf ( x + CBu [( I C f ( X + (4 ( I CB U] = ( I C[( f( x f( X ] + ( I CB[ u U] (3(4 Δ U+ = [( I Φ I Γ ( I CB ] +Φ [ I ]. (5 Γ ( I C[( f( x f( X ] + ( I Φ I Γ ( I CB +Φ I. + Γ { I C f( x f( X } 6 ρ Κ = ( I Φ I Γ ( I CB (6 ρ +Φ I = b bb. Γ c f + Κ { c f } + bγ b x X ρκ +Φ I + x X x X. x X x X ( f( x + B( u dτ f( x f( X x ( X ( + dτ B u U + x X + b ( x f( X dτ ( ( + ( f( X + BU f ( ( bb u U + f f ( τ ( ( B ( x X e + e b u U (7 dτ 8 (7(8 ρ + b + Κ ρ + b Δ U + ΔX ( e f ( τ f x ( X ( e + f ( τ + e ( b ( ( B u τ U τ dτ Κ + b e ( τ dτ B Φ Φ f (9 = max( f e e ρ e + b e + Κ Φ + ΔX ( e ( f ( τ bb e e U ( τ d + Δ ( ρ + b + Κ Φ ( + Δ X ( + ( e ( = ρκ + ( e + b Δ U + ΔX ( Φ τ ( ( ( ρ = ρκ + ( e ρ + b + ΔX ( + ( Φ M ( M bφ + Δ X ( + ρ Δ U + M (3 ρ Κ < ρ <. lm U Δ ρ M (4 lm U u + M ρ. Δ X = x X ΔX ( f ( τ Δ X ( + e dτ ( f Δ X ( + ( e. f ( h Chese Corol ad Decso Coferece (CCDC

5 Δ Y Δ Y = y Y ( I C( x X (6 ( I C ΔX Δ X ( = α = + ρ lm Δ U lm Δ Y y( = [] Φ= dag( α α α3 α4 α5 (8 = dag( [4] Γ= ( CB ( L+ D + 5( L+ D.3. Γ =Γ = Γ3 = Γ4 = Γ 5 = (9.4. [ u ( u ( u ( u ( u ( ] = [ x( x( x3( x4( x5( ] = (( I Φ I Γ [( L+ D I ]( I CB ρ m m =.54 (. - Laplaca A G = L = D= dag( d d d d d = dag( x ( x ( + x ( u ( = + x ( cos( x ( 4 3 u ( (7 x ( y ( = x ( = 3 45 Ζ x( = x( = x3( = x4( = x5( = h Chese Corol ad Decso Coferece (CCDC 6863

6 [] Jadbabae A L J Morse A S. Coordao of groups of moble auoomous ages usg eares eghbor rules[j]. Auomac Corol IEEE rasacos o 3 48(6: [] Olfa-Saber R Murray R M. Cosesus problems ewors of ages wh swchg opology ad me-delays[j]. Auomac Corol IEEE rasacos o 4 49(9: [3] Re W Beard R W. Cosesus seeg mulage sysems uder dyamcally chagg eraco opologes[j]. IEEE rasacos o auomac corol 5 5(5: [4] Cheg L Hou Z G a M e al. eural-ewor-based adapve leader-followg corol for mul-age sysems wh uceraes[j]. eural ewors IEEE rasacos o (8: [5] Cao Y Yu W Re W e al. A overvew of rece progress he sudy of dsrbued mul-age coordao[j]. Idusral Iformacs IEEE rasacos o 3 9(: [6] Hog Y Hu J Gao L. racg corol for mul-age cosesus wh a acve leader ad varable opology[j]. Auomaca 6 4(7: [7] Re W. Mul-vehcle cosesus wh a me-varyg referece sae[j]. Sysems & Corol Leers 7 56(7: [8] Wag Y Cheg L Re W e al. Coame corol of mul-age sysems wh dyamc leaders based o a PI-ype approach[j] IEEE rasacos o Cyberecs press DOI:.9/CYB [9] Ah H S Che Y Q. Ierave learg corol for mul-age formao[c]//iccas-sice 9. IEEE 9: [] Meg D Ja Y. Ierave learg approaches o desg fe-me cosesus proocols for mul-age sysems[j]. Sysems & Corol Leers 6(: [] Moore K L Che Y Q Ah H S. Ierave learg corol: A uoral ad bg pcure vew[c]//proceedgs of he 45h IEEE Coferece o Decso ad Corol. 6: [] Xu J X. A survey o erave learg corol for olear sysems[j]. Ieraoal Joural of Corol 84(7: [3] Lu Y Ja Y. A erave learg approach o formao corol of mul-age sysems[j]. Sysems & Corol Leers 6(: [4] Yag S Xu J X Huag D e al. Opmal erave learg corol desg for mul-age sysems cosesus racg[j]. Sysems & Corol Leers 4 69: [5] Meg D Ja Y Du J e al. racg corol over a fe erval for mul-age sysems wh a me-varyg referece rajecory[j]. Sysems & Corol Leers 6(7: [6] Yag S Xu J X Huag D. Ierave learg corol for mul-age sysems cosesus racg[c]//decso ad Corol (CDC IEEE 5s Aual Coferece o. IEEE : [7]. [D]. 4. [8] Yag S Xu J X Re Q. Mul-age cosesus racg wh al sae error by erave learg corol[c]//corol & Auomao (ICCA h IEEE Ieraoal Coferece o. IEEE 4: [9] Meg D Ja Y Du J. Robus Cosesus racg Corol for Mulage Sysems Wh Ial Sae Shfs Dsurbaces ad Swchg opologes[j]. eural ewors ad Learg Sysems IEEE rasacos o 5 6(4: [] Hezger G Fewc D Pade B e al. Robus leag corol[c]//decso ad Corol 989. Proceedgs of he 8h IEEE Coferece o. IEEE 989: [] Olfa-Saber R Murray R M. Cosesus problems ewors of ages wh swchg opology ad me-delays[j]. Auomac Corol IEEE rasacos o 4 49(9: h Chese Corol ad Decso Coferece (CCDC

!" # C*D ." + % 67$ '*? ( V #% I!5 I! > 3 . #B % !"#$ % &!$ '( )* *!"#$ $+", -.#/0 .#*..#/0!"#$ B 1G L3:*1( CE CLV )#IB Z 4 Q " +* -1 LTV

! # C*D . + % 67$ '*? ( V #% I!5 I! > 3 . #B % !#$ % &!$ '( )* *!#$ $+, -.#/0 .#*..#/0!#$ B 1G L3:*1( CE CLV )#IB Z 4 Q  +* -1 LTV !" # '( &' $ 4 ' 6 - (! -! - ) 9//4:9 : ; 9/6/4:9 @A ; CD!"#$ &!$ '( )!"#$ $", -.#/ 9( - 67$ -#$ #8 4 #! # " " " " 9D >? @#" 6# ABC? " :;"." ( = # 9( 8B G L 7 7J/ K".#/ 8B G HID 'J # 94/D$. (" ") #$ >$"

Διαβάστε περισσότερα

ΕΚΤΙΜΗΣΗ ΚΟΣΤΟΥΣ ΛΟΓΙΣΜΙΚΟΥ: ΠΕΡΙΓΡΑΦΗ ΑΝΑ ΕΙΓΜΑΤΟΛΗΠΤΙΚΩΝ ΤΕΧΝΙΚΩΝ ΓΙΑ ΤΗ ΜΕΘΟ Ο ΤΩΝ ΑΝΑΛΟΓΙΩΝ

ΕΚΤΙΜΗΣΗ ΚΟΣΤΟΥΣ ΛΟΓΙΣΜΙΚΟΥ: ΠΕΡΙΓΡΑΦΗ ΑΝΑ ΕΙΓΜΑΤΟΛΗΠΤΙΚΩΝ ΤΕΧΝΙΚΩΝ ΓΙΑ ΤΗ ΜΕΘΟ Ο ΤΩΝ ΑΝΑΛΟΓΙΩΝ Ελληνικό Στατιστικό Ινστιτούτο Πρακτικά 7 ου Πανελληνίου Συνεδρίου Στατιστικής (2004), σελ. 5-58 ΕΚΤΙΜΗΣΗ ΚΟΣΤΟΥΣ ΛΟΓΙΣΜΙΚΟΥ: ΠΕΡΙΓΡΑΦΗ ΑΝΑ ΕΙΓΜΑΤΟΛΗΠΤΙΚΩΝ ΤΕΧΝΙΚΩΝ ΓΙΑ ΤΗ ΜΕΘΟ Ο ΤΩΝ ΑΝΑΛΟΓΙΩΝ Ελευθέριος

Διαβάστε περισσότερα

Approach to Automatic Translation Template Acquisition Based on Statistical Learning

Approach to Automatic Translation Template Acquisition Based on Statistical Learning (, 00080 : : TP39. Approach to Automatc Traslato Template Acqusto Based o Statstcal Learg HU R-le, ZONG Cheg-qg, XU Bo (Natoal Laboratory o Patter Recogto, Isttute o Automato, Chese Academy o Sceces, Bejg

Διαβάστε περισσότερα

Study on Ascertaining the Amount of the Quality Claims about Large2scale Mechanical and Electrical Engineering Based on the System Efficiency

Study on Ascertaining the Amount of the Quality Claims about Large2scale Mechanical and Electrical Engineering Based on the System Efficiency 26 5 5 :126788 (26) 527825 1, 2 (11, 292 ;21, 2124) :,,,,,,. : ;;; : F284 : A Study o Ascertag the Amout of the Qualty Clams about Large2scale Mechacal ad Electrcal Egeerg Based o the System Effcecy LI

Διαβάστε περισσότερα

J. of Math. (PRC) u(t k ) = I k (u(t k )), k = 1, 2,, (1.6) , [3, 4] (1.1), (1.2), (1.3), [6 8]

J. of Math. (PRC) u(t k ) = I k (u(t k )), k = 1, 2,, (1.6) , [3, 4] (1.1), (1.2), (1.3), [6 8] Vol 36 ( 216 ) No 3 J of Mah (PR) 1, 2, 3 (1, 4335) (2, 4365) (3, 431) :,,,, : ; ; ; MR(21) : 35A1; 35A2 : O17529 : A : 255-7797(216)3-591-7 1 d d [x() g(, x )] = f(, x ),, (11) x = ϕ(), [ r, ], (12) x(

Διαβάστε περισσότερα

Fourier Series. Fourier Series

Fourier Series. Fourier Series ECE 37 Z. Aliyazicioglu Elecrical & Compuer Egieerig Dep. Cal Poly Pomoa Periodic sigal is a fucio ha repeas iself every secods. x() x( ± ) : period of a fucio, : ieger,,3, x() 3 x() x() Periodic sigal

Διαβάστε περισσότερα

Π Ο Λ Ι Τ Ι Κ Α Κ Α Ι Σ Τ Ρ Α Τ Ι Ω Τ Ι Κ Α Γ Ε Γ Ο Ν Ο Τ Α

Π Ο Λ Ι Τ Ι Κ Α Κ Α Ι Σ Τ Ρ Α Τ Ι Ω Τ Ι Κ Α Γ Ε Γ Ο Ν Ο Τ Α Α Ρ Χ Α Ι Α Ι Σ Τ Ο Ρ Ι Α Π Ο Λ Ι Τ Ι Κ Α Κ Α Ι Σ Τ Ρ Α Τ Ι Ω Τ Ι Κ Α Γ Ε Γ Ο Ν Ο Τ Α Σ η µ ε ί ω σ η : σ υ ν ά δ ε λ φ ο ι, ν α µ ο υ σ υ γ χ ω ρ ή σ ε τ ε τ ο γ ρ ή γ ο ρ ο κ α ι α τ η µ έ λ η τ ο ύ

Διαβάστε περισσότερα

Research on Real-Time Collision Detection Based on Hybrid Hierarchical Bounding Volume

Research on Real-Time Collision Detection Based on Hybrid Hierarchical Bounding Volume 20 2 Vol. 20 o. 2 2008 Joural of System Simulatio Ja., 2008 6024 SphereOBB X Z X Sphere OBB-Sphere Z OBB Sphere Sphere OBB OBB OBB OBB TP9.9 A 004-7X (2008) 02-72-06 Research o Real-Time Collisio Detectio

Διαβάστε περισσότερα

Κώστας Βελέντζας, Ρωξάνη Καραγιάννη Τμήμα Οικονομικών Επιστημών Πανεπιστήμιο Μακεδονίας ΠΕΡΙΛΗΨΗ

Κώστας Βελέντζας, Ρωξάνη Καραγιάννη Τμήμα Οικονομικών Επιστημών Πανεπιστήμιο Μακεδονίας ΠΕΡΙΛΗΨΗ ΘΕΩΡΗΤΙΚΕΣ ΙΔΙΟΤΗΤΕΣ ΤΟΥ ΥΠΟΔΕΙΓΜΑΤΟΣ AIDS ΚΑΙ ΔΙΑΦΟΡΕΤΙΚΟΙ ΤΡΟΠΟΙ ΔΙΟΡΘΩΣΗΣ ΤΗΣ ΑΥΤΟΣΥΣΧΕΤΙΣΗΣ: ΕΦΑΡΜΟΓΗ ΣΤΗΝ ΑΝΑΛΥΣΗ ΤΗΣ ΖΗΤΗΣΗΣ ΤΡΟΦΙΜΩΝ ΣΤΗΝ ΕΛΛΑΔΑ, 960-995 Κώστας Βελέντζας, Ρωξάνη Καραγιάννη Τμήμα

Διαβάστε περισσότερα

Errata (Includes critical corrections only for the 1 st & 2 nd reprint)

Errata (Includes critical corrections only for the 1 st & 2 nd reprint) Wedesday, May 5, 3 Erraa (Icludes criical correcios oly for he s & d repri) Advaced Egieerig Mahemaics, 7e Peer V O eil ISB: 978474 Page # Descripio 38 ie 4: chage "w v a v " "w v a v " 46 ie : chage "y

Διαβάστε περισσότερα

George S. A. Shaker ECE477 Understanding Reflections in Media. Reflection in Media

George S. A. Shaker ECE477 Understanding Reflections in Media. Reflection in Media Geoge S. A. Shake C477 Udesadg Reflecos Meda Refleco Meda Ths hadou ages a smplfed appoach o udesad eflecos meda. As a sude C477, you ae o equed o kow hese seps by hea. I s jus o make you udesad how some

Διαβάστε περισσότερα

%78 (!*+$&%,+$&*+$&%,-. /0$12*343556

%78 (!*+$&%,+$&*+$&%,-. /0$12*343556 ! %78 ( 9 :: "#$% $&'"(" )!*$&%,$&*$&%,-. /$*343556 $ $& %$&.;$& $(# $"*("$# $ "$?, !* $&,#$"&::> $&( &$#, #$&# $"#&"& @($&%%>A!" #$ % µ & ' (#$ )! ) * ' "!)!,-./.' ) " $ &

Διαβάστε περισσότερα

2005 Journal of Software. Router Anomaly Traffic Detection Based on Modified-CUSUM Algorithms

2005 Journal of Software. Router Anomaly Traffic Detection Based on Modified-CUSUM Algorithms -9825/25/6(227 25 Joural of Software Vol6 No2 CUSUM + ( 2 Router Aoaly Traffc Detecto Based o Modfed-CUSUM Algorths SUN h-x + TANG Y-We CHENG Yua (College of Coputer Scece ad Techology Najg Uersty of Posts

Διαβάστε περισσότερα

Estimation of stability region for a class of switched linear systems with multiple equilibrium points

Estimation of stability region for a class of switched linear systems with multiple equilibrium points 29 4 2012 4 1000 8152(2012)04 0409 06 Control Theory & Applications Vol 29 No 4 Apr 2012 12 1 (1 250061; 2 250353) ; ; ; TP273 A Estimation of stability region for a class of switched linear systems with

Διαβάστε περισσότερα

W τ R W j N H = 2 F obj b q N F aug F obj b q Ψ F aug Ψ ( ) ϱ t + + p = 0 = 0 Ω f = Γ Γ b ϱ = (, t) = (, t) Ω f Γ b ( ) ϱ t + + p = V max 4 3 2 1 0-1 -2-3 -4-4 -3-2 -1 0 1 2 3 4 x 4 x 1 V mn V max

Διαβάστε περισσότερα

Estimators when the Correlation Coefficient. is Negative

Estimators when the Correlation Coefficient. is Negative It J Cotemp Math Sceces, Vol 5, 00, o 3, 45-50 Estmators whe the Correlato Coeffcet s Negatve Sad Al Al-Hadhram College of Appled Sceces, Nzwa, Oma abur97@ahoocouk Abstract Rato estmators for the mea of

Διαβάστε περισσότερα

Q L -BFGS. Method of Q through full waveform inversion based on L -BFGS algorithm. SUN Hui-qiu HAN Li-guo XU Yang-yang GAO Han ZHOU Yan ZHANG Pan

Q L -BFGS. Method of Q through full waveform inversion based on L -BFGS algorithm. SUN Hui-qiu HAN Li-guo XU Yang-yang GAO Han ZHOU Yan ZHANG Pan 3 2015 12 GLOBAL GEOLOGY Vol. 3 No. Dec. 2015 100 5589 2015 0 1106 07 L BFGS Q 130026 Q 2D L BFGS Marmousi Q L BFGS P631. 3 A doi 10. 3969 /j. issn. 1005589. 2015. 0. 02 Method of Q through full waveform

Διαβάστε περισσότερα

The one-dimensional periodic Schrödinger equation

The one-dimensional periodic Schrödinger equation The one-dmensonal perodc Schrödnger equaon Jordan Bell jordan.bell@gmal.com Deparmen of Mahemacs, Unversy of Torono Aprl 23, 26 Translaons and convoluon For y, le τ y f(x f(x y. To say ha f : C s unformly

Διαβάστε περισσότερα

CDMA. Performance Analysis of Chaotic Spread Spectrum CDMA Systems. LI Xiao - chao, GUO Dong - hui, ZENG Quan, WU Bo - xi RESEARCH & DEVELOPMENT

CDMA. Performance Analysis of Chaotic Spread Spectrum CDMA Systems. LI Xiao - chao, GUO Dong - hui, ZENG Quan, WU Bo - xi RESEARCH & DEVELOPMENT 2003 6 RESEARCH & DEVELOPME 00-893X(2003) 06-003 - 06 3 CDMA Ξ,, (, 36005), roecker Delta, CDMA, DS - CDMA, CDMA, CDMA CDMA, CDMA, Gold asami DS - CDMA CDMA ; ; ; 929. 5 ;O45. 5 A Performace Aalysis of

Διαβάστε περισσότερα

ΠΑΝΕΠΙΣΤΗΜΙΟ ΠΕΙΡΑΙΩΣ ΤΜΗΜΑ ΣΤΑΤΙΣΤΙΚΗΣ ΚΑΙ ΑΣΦΑΛΙΣΤΙΚΗΣ ΕΠΙΣΤΗΜΗΣ ΜΕΤΑΠΤΥΧΙΑΚΟ ΠΡΟΓΡΑΜΜΑ ΣΠΟΥΔΩΝ ΣΤΗΝ ΕΦΑΡΜΟΣΜΕΝΗ ΣΤΑΤΙΣΤΙΚΗ

ΠΑΝΕΠΙΣΤΗΜΙΟ ΠΕΙΡΑΙΩΣ ΤΜΗΜΑ ΣΤΑΤΙΣΤΙΚΗΣ ΚΑΙ ΑΣΦΑΛΙΣΤΙΚΗΣ ΕΠΙΣΤΗΜΗΣ ΜΕΤΑΠΤΥΧΙΑΚΟ ΠΡΟΓΡΑΜΜΑ ΣΠΟΥΔΩΝ ΣΤΗΝ ΕΦΑΡΜΟΣΜΕΝΗ ΣΤΑΤΙΣΤΙΚΗ ΠΑΝΕΠΙΣΤΗΜΙΟ ΠΕΙΡΑΙΩΣ ΤΜΗΜΑ ΣΤΑΤΙΣΤΙΚΗΣ ΚΑΙ ΑΣΦΑΛΙΣΤΙΚΗΣ ΕΠΙΣΤΗΜΗΣ ΜΕΤΑΠΤΥΧΙΑΚΟ ΠΡΟΓΡΑΜΜΑ ΣΠΟΥΔΩΝ ΣΤΗΝ ΕΦΑΡΜΟΣΜΕΝΗ ΣΤΑΤΙΣΤΙΚΗ ΔΙΑΓΡΑΜΜΑΤΑ ΕΛΕΓΧΟΥ ΚΙΝΟΥΜΕΝΟΥ ΜΕΣΟΥ Ανθούλα Ν. Τσίπη Διπλωματική Εργασία που

Διαβάστε περισσότερα

[1], [2] - (Danfoss, Rexroth, Char-Lynn. [3, 4, 5]), .. [6]. [7]

[1], [2] - (Danfoss, Rexroth, Char-Lynn. [3, 4, 5]), .. [6]. [7] OTROL. COISSION OF OTORIZATION AND ENERGETICS IN AGRICULTURE 0, Vol. 6, No. 5, 87 98 -,,, 008,.,., e-mal: mosgv@ukr.net. -,... -. :, -,. [],,.,,.., []. - (Danoss, Rexroth, Char-Lynn. [,, 5]),. -,.. [6]..,

Διαβάστε περισσότερα

Το άτομο του Υδρογόνου

Το άτομο του Υδρογόνου Το άτομο του Υδρογόνου Δυναμικό Coulomb Εξίσωση Schrödinger h e (, r, ) (, r, ) E (, r, ) m ψ θφ r ψ θφ = ψ θφ Συνθήκες ψ(, r θφ, ) = πεπερασμένη ψ( r ) = 0 ψ(, r θφ, ) =ψ(, r θφ+, ) π Επιτρεπτές ενέργειες

Διαβάστε περισσότερα

Journal of Central South University (Science and Technology) Jun i p i q

Journal of Central South University (Science and Technology) Jun i p i q 4 3 ( ) Vol.4 No.3 6 Joural of Cetral South Uiversity (Sciece ad Techology) Ju. pq i p i q (. 483. 483) pq i p i q pq TM74 A 6777()357 A improved i p i q detectio approach of positive fudametal active

Διαβάστε περισσότερα

High order interpolation function for surface contact problem

High order interpolation function for surface contact problem 3 016 5 Journal of East China Normal University Natural Science No 3 May 016 : 1000-564101603-0009-1 1 1 1 00444; E- 00030 : Lagrange Lobatto Matlab : ; Lagrange; : O41 : A DOI: 103969/jissn1000-56410160300

Διαβάστε περισσότερα

1. For each of the following power series, find the interval of convergence and the radius of convergence:

1. For each of the following power series, find the interval of convergence and the radius of convergence: Math 6 Practice Problems Solutios Power Series ad Taylor Series 1. For each of the followig power series, fid the iterval of covergece ad the radius of covergece: (a ( 1 x Notice that = ( 1 +1 ( x +1.

Διαβάστε περισσότερα

FORMULAE SHEET for STATISTICS II

FORMULAE SHEET for STATISTICS II Síscs II Degrees Ecoomcs d Mgeme FOMULAE SHEET for STATISTICS II EPECTED VALUE MOMENTS AND PAAMETES - Vr ( E( E( - Cov( E{ ( ( } E( E( E( µ ρ Cov( - E ( b E( be( Vr( b Vr( b Vr( bcov( THEOETICAL DISTIBUTIONS

Διαβάστε περισσότερα

Ma;V L V Lj j Lagmur m 3 /m 3 ; L Lj j Lagmur Ma;yyj j ;G a m 3 /m 3 ; g/cm 3 ;a A 5 = GmBg 1- φ m G 1-S mw φ m -φ a a1 -G a2 3 A

Ma;V L V Lj j Lagmur m 3 /m 3 ; L Lj j Lagmur Ma;yyj j ;G a m 3 /m 3 ; g/cm 3 ;a A 5 = GmBg 1- φ m G 1-S mw φ m -φ a a1 -G a2 3 A 36 2 2017 3 GeologcalSceceadTechologyIformato Vol.36 No.2 Mar. 2017 do10.19509/j.ck.dzkq.2017.0218. [J]. 2017362141-145. 102249 Bagham Lagmur Lagmur 20%; ; ; ; ; ; 618.13 A 1000-7849201702-0141-05 [13]

Διαβάστε περισσότερα

K. Hausdorff K K O X = SDA. symbolic data analysis SDA SDA. Vol. 16 No. 3 Mar JOURNAL OF MANAGEMENT SCIENCES IN CHINA

K. Hausdorff K K O X = SDA. symbolic data analysis SDA SDA. Vol. 16 No. 3 Mar JOURNAL OF MANAGEMENT SCIENCES IN CHINA 16 3 013 3 JOURNAL OF MANAGEMENT SCIENCES IN CHINA Vol 16 No 3 Mar 013 1 K 30007 K Hausdorff K K K O1 4 A 1007-9807 013 03-001 - 08 0 3 X = 5 36 K SDA 1 symbolic data aalysis SDA 3 5 SDA 1 011-06 - 15

Διαβάστε περισσότερα

Parts Manual. Trio Mobile Surgery Platform. Model 1033

Parts Manual. Trio Mobile Surgery Platform. Model 1033 Trio Mobile Surgery Platform Model 1033 Parts Manual For parts or technical assistance: Pour pièces de service ou assistance technique : Für Teile oder technische Unterstützung Anruf: Voor delen of technische

Διαβάστε περισσότερα

Α Ρ Ι Θ Μ Ο Σ : 6.913

Α Ρ Ι Θ Μ Ο Σ : 6.913 Α Ρ Ι Θ Μ Ο Σ : 6.913 ΠΡΑΞΗ ΚΑΤΑΘΕΣΗΣ ΟΡΩΝ ΔΙΑΓΩΝΙΣΜΟΥ Σ τ η ν Π ά τ ρ α σ ή μ ε ρ α σ τ ι ς δ ε κ α τ έ σ σ ε ρ ι ς ( 1 4 ) τ ο υ μ ή ν α Ο κ τ ω β ρ ί ο υ, η μ έ ρ α Τ ε τ ά ρ τ η, τ ο υ έ τ ο υ ς δ

Διαβάστε περισσότερα

Applied Study of Hilbert-huang Transform and Elman Neural Network on Flow Regime Identification for Gas-liquid Two-phase Flow

Applied Study of Hilbert-huang Transform and Elman Neural Network on Flow Regime Identification for Gas-liquid Two-phase Flow 7 Vol.7 No. Apr. 7 7 4 Proceedgs of the CSEE 7 Ch.Soc.for Elec.Eg. 58-83 (7) 7-5-7 O359 A 47 Elma ( 3 574) Appled Study of Hlbert-huag Trasform ad Elma Neural Network o Flow Regme Idetfcato for Gas-lqud

Διαβάστε περισσότερα

On Quasi - f -Power Increasing Sequences

On Quasi - f -Power Increasing Sequences Ieaioal Maheaical Fou Vol 8 203 o 8 377-386 Quasi - f -owe Iceasig Sequeces Maheda Misa G Deae of Maheaics NC College (Auooous) Jaju disha Mahedaisa2007@gailco B adhy Rolad Isiue of echoy Golahaa-76008

Διαβάστε περισσότερα

Μη-Γραμμικός Αναλογικός Ολοκληρωτικός Έλεγχος για Consensus Πολύ-πρακτορικών Συστημάτων με Εναλλασσόμενες Τοπολογίες και Συνεκτική Ένωση Γράφων

Μη-Γραμμικός Αναλογικός Ολοκληρωτικός Έλεγχος για Consensus Πολύ-πρακτορικών Συστημάτων με Εναλλασσόμενες Τοπολογίες και Συνεκτική Ένωση Γράφων ΕΘΝΙΚΟ ΜΕΤΣΟΒΙΟ ΠΟΛΥΤΕΧΝΕΙΟ Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών Τομέας Σημάτων, Ελέγχου και Ρομποτικής Μη-Γραμμικός Αναλογικός Ολοκληρωτικός Έλεγχος για Consensus Πολύ-πρακτορικών Συστημάτων

Διαβάστε περισσότερα

Homework for 1/27 Due 2/5

Homework for 1/27 Due 2/5 Name: ID: Homework for /7 Due /5. [ 8-3] I Example D of Sectio 8.4, the pdf of the populatio distributio is + αx x f(x α) =, α, otherwise ad the method of momets estimate was foud to be ˆα = 3X (where

Διαβάστε περισσότερα

Cytotoxicity of ionic liquids and precursor compounds towards human cell line HeLa

Cytotoxicity of ionic liquids and precursor compounds towards human cell line HeLa Cytotoxcty of oc lqud ad precuror compoud toward huma cell le HeLa Xuefeg Wag, a,b C. Adré Ohl, a Qghua Lu,* a Zhaofu Fe, c Ju Hu, b ad Paul J. Dyo c a School of Chemtry ad Chemcal Techology, Shagha Jao

Διαβάστε περισσότερα

No. 7 Modular Machine Tool & Automatic Manufacturing Technique. Jul TH166 TG659 A

No. 7 Modular Machine Tool & Automatic Manufacturing Technique. Jul TH166 TG659 A 7 2016 7 No. 7 Modular Machine Tool & Automatic Manufacturing Technique Jul. 2016 1001-2265 2016 07-0122 - 05 DOI 10. 13462 /j. cnki. mmtamt. 2016. 07. 035 * 100124 TH166 TG659 A Precision Modeling and

Διαβάστε περισσότερα

!"#$ "%&$ ##%&%'()) *..$ /. 0-1$ )$.'-

!#$ %&$ ##%&%'()) *..$ /. 0-1$ )$.'- !!" !"# "%& ##%&%',-... /. -1.'- -13-',,'- '-...4 %. -5"'-1.... /..'-1.....-"..'-1.. 78::8

Διαβάστε περισσότερα

Vidyalankar. Vidyalankar S.E. Sem. III [BIOM] Applied Mathematics - III Prelim Question Paper Solution. 1 e = 1 1. f(t) =

Vidyalankar. Vidyalankar S.E. Sem. III [BIOM] Applied Mathematics - III Prelim Question Paper Solution. 1 e = 1 1. f(t) = . (a). (b). (c) f() L L e i e Vidyalakar S.E. Sem. III [BIOM] Applied Mahemaic - III Prelim Queio Paper Soluio L el e () i ( ) H( ) u e co y + 3 3y u e co y + 6 uy e i y 6y uyy e co y 6 u + u yy e co y

Διαβάστε περισσότερα

VSC STEADY2STATE MOD EL AND ITS NONL INEAR CONTROL OF VSC2HVDC SYSTEM VSC (1. , ; 2. , )

VSC STEADY2STATE MOD EL AND ITS NONL INEAR CONTROL OF VSC2HVDC SYSTEM VSC (1. , ; 2. , ) 22 1 2002 1 Vol. 22 No. 1 Jan. 2002 Proceedings of the CSEE ν 2002 Chin. Soc. for Elec. Eng. :025828013 (2002) 0120017206 VSC 1, 1 2, (1., 310027 ; 2., 250061) STEADY2STATE MOD EL AND ITS NONL INEAR CONTROL

Διαβάστε περισσότερα

ΧΡΟΝΟΙ ΑΝΑΜΟΝΗΣ ΜΕΧΡΙ ΤΗΝ ΠΡΩΤΗ ΕΜΦΑΝΙΣΗ ΣΧΗΜΑΤΙΣΜΩΝ ΣΕ ΜΙΑ ΔΙΔΙΑΣΤΑΤΗ ΑΚΟΛΟΥΘΙΑ ΤΡΙΤΙΜΩΝ ΔΟΚΙΜΩΝ

ΧΡΟΝΟΙ ΑΝΑΜΟΝΗΣ ΜΕΧΡΙ ΤΗΝ ΠΡΩΤΗ ΕΜΦΑΝΙΣΗ ΣΧΗΜΑΤΙΣΜΩΝ ΣΕ ΜΙΑ ΔΙΔΙΑΣΤΑΤΗ ΑΚΟΛΟΥΘΙΑ ΤΡΙΤΙΜΩΝ ΔΟΚΙΜΩΝ Ελληνικό Στατιστικό Ινστιτούτο Πρακτικά 8 ου Πανελληνίου Συνεδρίου Στατιστικής (5) σελ.97-33 ΧΡΟΝΟΙ ΑΝΑΜΟΝΗΣ ΜΕΧΡΙ ΤΗΝ ΠΡΩΤΗ ΕΜΦΑΝΙΣΗ ΣΧΗΜΑΤΙΣΜΩΝ ΣΕ ΜΙΑ ΔΙΔΙΑΣΤΑΤΗ ΑΚΟΛΟΥΘΙΑ ΤΡΙΤΙΜΩΝ ΔΟΚΙΜΩΝ Σ. Μπερσίμης

Διαβάστε περισσότερα

RG Tutorial xlc3.doc 1/10. To apply the R-G method, the differential equation must be represented in the form:

RG Tutorial xlc3.doc 1/10. To apply the R-G method, the differential equation must be represented in the form: G Tuorial xlc3.oc / iear roblem i e C i e C ( ie ( Differeial equaio for C (3 Thi fir orer iffereial equaio ca eaily be ole bu he uroe of hi uorial i o how how o ue he iz-galerki meho o fi ou he oluio.

Διαβάστε περισσότερα

GPU. CUDA GPU GeForce GTX 580 GPU 2.67GHz Intel Core 2 Duo CPU E7300 CUDA. Parallelizing the Number Partitioning Problem for GPUs

GPU. CUDA GPU GeForce GTX 580 GPU 2.67GHz Intel Core 2 Duo CPU E7300 CUDA. Parallelizing the Number Partitioning Problem for GPUs GPU 1 1 NP number partitioning problem Pedroso CUDA GPU GeForce GTX 580 GPU 2.67GHz Intel Core 2 Duo CPU E7300 CUDA C Pedroso Python 323 Python C 12.2 Parallelizing the Number Partitioning Problem for

Διαβάστε περισσότερα

T he Op tim al L PM Po rtfo lio M odel of H arlow s and Its So lving M ethod

T he Op tim al L PM Po rtfo lio M odel of H arlow s and Its So lving M ethod 2003 6 6 00026788 (2003) 0620042206 H arlow, 2 3, (., 70049; 2., 7006; 3., 200433) H arlow,,,,, ;, ; ; F832. 5; F830. 9 A T he Op tim al L PM Po rtfo lio M odel of H arlow s ad Its So lvig M ethod W AN

Διαβάστε περισσότερα

ΑΝΑΛΥΣΗ ΤΩΝ ΚΑΤΑΝΑΛΩΤΙΚΩΝ ΠΡΟΤΥΠΩΝ ΓΙΑ ΤΗ ΖΗΤΗΣΗ ΤΡΟΦΙΜΩΝ ΣΤΗΝ ΕΛΛΑΔΑ, Ρωξάνη Καραγιάννη Υποψήφια Διδάκτορας. Κώστας Βελέντζας Καθηγητής

ΑΝΑΛΥΣΗ ΤΩΝ ΚΑΤΑΝΑΛΩΤΙΚΩΝ ΠΡΟΤΥΠΩΝ ΓΙΑ ΤΗ ΖΗΤΗΣΗ ΤΡΟΦΙΜΩΝ ΣΤΗΝ ΕΛΛΑΔΑ, Ρωξάνη Καραγιάννη Υποψήφια Διδάκτορας. Κώστας Βελέντζας Καθηγητής ΑΝΑΛΥΣΗ ΤΩΝ ΚΑΤΑΝΑΛΩΤΙΚΩΝ ΠΡΟΤΥΠΩΝ ΓΙΑ ΤΗ ΖΗΤΗΣΗ ΤΡΟΦΙΜΩΝ ΣΤΗΝ ΕΛΛΑΔΑ, 960-995 Ρωξάνη Καραγιάννη Υποψήφια Διδάκτορας Κώστας Βελέντζας Καθηγητής Τμήμα Οικονομικών Επιστημών Πανεπιστήμιο Μακεδονίας Εγνατία

Διαβάστε περισσότερα

'( )*(((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((( +

'( )*(((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((( + ! " # $ %&&' '( )*(((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((( + %( ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((('& %('(,,

Διαβάστε περισσότερα

Other Test Constructions: Likelihood Ratio & Bayes Tests

Other Test Constructions: Likelihood Ratio & Bayes Tests Other Test Constructions: Likelihood Ratio & Bayes Tests Side-Note: So far we have seen a few approaches for creating tests such as Neyman-Pearson Lemma ( most powerful tests of H 0 : θ = θ 0 vs H 1 :

Διαβάστε περισσότερα

INTEGRATION OF THE NORMAL DISTRIBUTION CURVE

INTEGRATION OF THE NORMAL DISTRIBUTION CURVE INTEGRATION OF THE NORMAL DISTRIBUTION CURVE By Tom Irvie Email: tomirvie@aol.com March 3, 999 Itroductio May processes have a ormal probability distributio. Broadbad radom vibratio is a example. The purpose

Διαβάστε περισσότερα

Finite-time output regulation method for a class of uncertain nonlinear systems

Finite-time output regulation method for a class of uncertain nonlinear systems 0 07 0 Electri c Machies ad Cotrol Vol. No. 0 Oct. 07 54088 :,,, ;, : ; ; ; ; DOI: 0. 5938 /j. emc. 07. 0. 05 TP 7 A 007-449X 07 0-008- 08 Fiite-time output regulatio method for a class of ucertai oliear

Διαβάστε περισσότερα

CS 1675 Introduction to Machine Learning Lecture 7. Density estimation. Milos Hauskrecht 5329 Sennott Square

CS 1675 Introduction to Machine Learning Lecture 7. Density estimation. Milos Hauskrecht 5329 Sennott Square CS 675 Itroducto to Mache Learg Lecture 7 esty estmato Mlos Hausrecht mlos@cs.tt.edu 539 Seott Square ata: esty estmato {.. } a vector of attrbute values Objectve: estmate the model of the uderlyg robablty

Διαβάστε περισσότερα

2. Α ν ά λ υ σ η Π ε ρ ι ο χ ή ς. 3. Α π α ι τ ή σ ε ι ς Ε ρ γ ο δ ό τ η. 4. Τ υ π ο λ ο γ ί α κ τ ι ρ ί ω ν. 5. Π ρ ό τ α σ η. 6.

2. Α ν ά λ υ σ η Π ε ρ ι ο χ ή ς. 3. Α π α ι τ ή σ ε ι ς Ε ρ γ ο δ ό τ η. 4. Τ υ π ο λ ο γ ί α κ τ ι ρ ί ω ν. 5. Π ρ ό τ α σ η. 6. Π Ε Ρ Ι Ε Χ Ο Μ Ε Ν Α 1. Ε ι σ α γ ω γ ή 2. Α ν ά λ υ σ η Π ε ρ ι ο χ ή ς 3. Α π α ι τ ή σ ε ι ς Ε ρ γ ο δ ό τ η 4. Τ υ π ο λ ο γ ί α κ τ ι ρ ί ω ν 5. Π ρ ό τ α σ η 6. Τ ο γ ρ α φ ε ί ο 1. Ε ι σ α γ ω

Διαβάστε περισσότερα

An A lgor ithm of M ea sur ing Var ia tion D egree for Fea ture M odel

An A lgor ithm of M ea sur ing Var ia tion D egree for Fea ture M odel 35 2 2010 4 ( ) http: / /www. kustjoura l. com / Joural of Kum ig Uiversity of Sciece ad Techology ( Sciece ad Techology) Vol. 35 No12 Ap r. 2010 doi: 10. 3969 / j. iss. 1007-855x. 2010. 02. 018 1, 2 (1.,

Διαβάστε περισσότερα

Carrier Tape Dimensions&Packaging Quantity

Carrier Tape Dimensions&Packaging Quantity Reel&Carrier ape Specifications Carrier ape mensions&ackaging Quantity 1.75±0.1 4.0±0.1 2.0±0.05 Φ1.5 +0.1-0 Material of taping is paper 1.75±0.1 4.0±0.1 2.0±0.05 Φ1.5 +0.1-0 Material of taping is plastic

Διαβάστε περισσότερα

Analiza reakcji wybranych modeli

Analiza reakcji wybranych modeli Bank i Kredy 43 (4), 202, 85 8 www.bankikredy.nbp.pl www.bankandcredi.nbp.pl Analiza reakcji wybranych modeli 86 - - - srice - - - per capia research and developmen dynamic sochasic general equilibrium

Διαβάστε περισσότερα

ΑΝΑΛΥΤΙΚΟΣ ΤΙΜΟΚΑΤΑΛΟΓΟΣ BMW / MINI (Ισχύει από 15/01/2018) ΚΙΒΩΤΙΟ ΤΑΧΥΤΗΤΩΝ ΚΥΒΙΣΜΟΣ ΙΣΧΥΣ (HP)

ΑΝΑΛΥΤΙΚΟΣ ΤΙΜΟΚΑΤΑΛΟΓΟΣ BMW / MINI (Ισχύει από 15/01/2018) ΚΙΒΩΤΙΟ ΤΑΧΥΤΗΤΩΝ ΚΥΒΙΣΜΟΣ ΙΣΧΥΣ (HP) Υ F21 LCI - Σειρά 1 3θυρη 1W11 120i ΧΚ 1.998 184 131 21.941,48 33.000 1W31 125i ΑΚ 1.998 224 130 26.407,03 42.040 1W91 M140i ΧΚ 2.998 340 179 31.878,02 52.790 1P91 M140i xdrive ΑΚ 2.998 340 169 35.428,74

Διαβάστε περισσότερα

J. of Math. (PRC) Banach, , X = N(T ) R(T + ), Y = R(T ) N(T + ). Vol. 37 ( 2017 ) No. 5

J. of Math. (PRC) Banach, , X = N(T ) R(T + ), Y = R(T ) N(T + ). Vol. 37 ( 2017 ) No. 5 Vol. 37 ( 2017 ) No. 5 J. of Math. (PRC) 1,2, 1, 1 (1., 225002) (2., 225009) :. I +AT +, T + = T + (I +AT + ) 1, T +. Banach Hilbert Moore-Penrose.. : ; ; Moore-Penrose ; ; MR(2010) : 47L05; 46A32 : O177.2

Διαβάστε περισσότερα

Estimation of grain boundary segregation enthalpy and its role in stable nanocrystalline alloy design

Estimation of grain boundary segregation enthalpy and its role in stable nanocrystalline alloy design Supplemental Material for Estimation of grain boundary segregation enthalpy and its role in stable nanocrystalline alloy design By H. A. Murdoch and C.A. Schuh Miedema model RKM model ΔH mix ΔH seg ΔH

Διαβάστε περισσότερα

5 Haar, R. Haar,. Antonads 994, Dogaru & Carn Kerkyacharan & Pcard 996. : Haar. Haar, y r x f rt xβ r + ε r x β r + mr k β r k ψ kx + ε r x, r,.. x [,

5 Haar, R. Haar,. Antonads 994, Dogaru & Carn Kerkyacharan & Pcard 996. : Haar. Haar, y r x f rt xβ r + ε r x β r + mr k β r k ψ kx + ε r x, r,.. x [, 4 Chnese Journal of Appled Probablty and Statstcs Vol.6 No. Apr. Haar,, 6,, 34 E-,,, 34 Haar.., D-, A- Q-,. :, Haar,. : O.6..,..,.. Herzberg & Traves 994, Oyet & Wens, Oyet Tan & Herzberg 6, 7. Haar Haar.,

Διαβάστε περισσότερα

A New Approach to Bounded Real Lemma Representation for Linear Neutral Systems

A New Approach to Bounded Real Lemma Representation for Linear Neutral Systems 46-57 388 4 3 3 sariai@ee.knu. ac.ir agira@knu. ac.ir 3 labibi@knu. ac.ir (388// 388/9/8 :. -..... :. A New Approac o Boune Real Lemma Represenaion for Linear Neural Sysems Ala Sariai, Hami Reza agira

Διαβάστε περισσότερα

Spherical Coordinates

Spherical Coordinates Spherical Coordinates MATH 311, Calculus III J. Robert Buchanan Department of Mathematics Fall 2011 Spherical Coordinates Another means of locating points in three-dimensional space is known as the spherical

Διαβάστε περισσότερα

Latent variable models Variational approximations.

Latent variable models Variational approximations. CS 3750 Mache Learg Lectre 9 Latet varable moel Varatoal appromato. Mlo arecht mlo@c.ptt.e 539 Seott Sqare CS 750 Mache Learg Cooperatve vector qatzer Latet varable : meoalty bary var Oberve varable :

Διαβάστε περισσότερα

LAPLACE TRANSFORM TABLE

LAPLACE TRANSFORM TABLE LAPLACE TRANSFORM TABLE Th Laplac afom of am mpl fuco a gv h Tabl. Fuco U mpul U Sp U Ramp Expoal Rpad Roo S Co Polyomal Dampd Dampd co f δ u -a -a co,,... -a -a co F / / /a /a / /!/ /a a/a Thom : Shf

Διαβάστε περισσότερα

ITU-R P ITU-R P (ITU-R 204/3 ( )

ITU-R P ITU-R P (ITU-R 204/3 ( ) 1 ITU-R P.530-1 ITU-R P.530-1 (ITU-R 04/3 ) (007-005-001-1999-1997-1995-1994-199-1990-1986-198-1978)... ( ( ( 1 1. 1 : - - ) - ( 1 ITU-R P.530-1..... 6.3. :. ITU-R P.45 -. ITU-R P.619 -. ) (ITU-R P.55

Διαβάστε περισσότερα

())*+,-./0-1+*)*2, *67()(,01-+4(-8 9 0:,*2./0 30 ;+-7 3* *),+*< 7+)0 3* (=24(-) 04(-() 18(4-3-) 3-2(>*+)(3-3*

())*+,-./0-1+*)*2, *67()(,01-+4(-8 9 0:,*2./0 30 ;+-7 3* *),+*< 7+)0 3* (=24(-) 04(-() 18(4-3-) 3-2(>*+)(3-3* ! " # $ $ %&&' % $ $! " # ())*+,-./0-1+*)*2,-3-4050+*67()(,01-+4(-8 9 0:,*2./0 30 ;+-7 3* *),+*< 7+)0 3* *),+-30 *5 35(2(),+-./0 30 *,0+ 3* (=24(-) 04(-() 18(4-3-) 3-2(>*+)(3-3* *3*+-830-+-2?< +(*2,-30+

Διαβάστε περισσότερα

IF(Ingerchange Format) [7] IF C-STAR(Consortium for speech translation advanced research ) [8] IF 2 IF

IF(Ingerchange Format) [7] IF C-STAR(Consortium for speech translation advanced research ) [8] IF 2 IF 100080 e-mal:{gdxe, cqzong, xubo}@nlpr.a.ac.cn tel:(010)82614468 IF 1 1 1 IF(Ingerchange Format) [7] IF C-STAR(Consortum for speech translaton advanced research ) [8] IF 2 IF 2 IF 69835003 60175012 [6][12]

Διαβάστε περισσότερα

Approximation Expressions for the Temperature Integral

Approximation Expressions for the Temperature Integral 20 7Π8 2008 8 PROGRSS IN CHMISRY Vol. 20 No. 7Π8 Aug., 2008 3 3 3 3 3 ( 230026),,,, : O64311 ; O64213 : A : 10052281X(2008) 07Π821015206 Approimation pressions for the emperature Integral Chen Haiiang

Διαβάστε περισσότερα

Super-Resolution Reconstruction for Face Images Based on Particle Filters Method

Super-Resolution Reconstruction for Face Images Based on Particle Filters Method ISSN 1000-9825, CODEN RUUEW E-mal jos@scasaccn Journal of Sofware, Vol17, No12, December 2006, pp2529 2536 hp//wwwjosorgcn DOI 101360/jos172529 Tel/Fax +86-10-62562563 2006 by Journal of Sofware All rghs

Διαβάστε περισσότερα

On Inclusion Relation of Absolute Summability

On Inclusion Relation of Absolute Summability It. J. Cotemp. Math. Scieces, Vol. 5, 2010, o. 53, 2641-2646 O Iclusio Relatio of Absolute Summability Aradhaa Dutt Jauhari A/66 Suresh Sharma Nagar Bareilly UP) Idia-243006 aditya jauhari@rediffmail.com

Διαβάστε περισσότερα

CNS.1 Compressible Navier-Stokes Time Averaged

CNS.1 Compressible Navier-Stokes Time Averaged CNS.1 Compressble Naver-Sokes Tme Averaged Insananeos flow conservaon prncples, compressble flow D M : L( ρ) = ρ + ( ρ ) = 0 x ρ D P : L( ρ ) = + ρ + pδ = 0 x D E : L( ρe) = ( ρe+ ρ / ) + ( ρh+ ρ / q)

Διαβάστε περισσότερα

Monetary Policy Design in the Basic New Keynesian Model

Monetary Policy Design in the Basic New Keynesian Model Monetary Policy Design in the Basic New Keynesian Model Jordi Galí CREI, UPF and Barcelona GSE June 216 Jordi Galí (CREI, UPF and Barcelona GSE) Monetary Policy Design June 216 1 / 12 The Basic New Keynesian

Διαβάστε περισσότερα

Outline. Detection Theory. Background. Background (Cont.)

Outline. Detection Theory. Background. Background (Cont.) Outlie etectio heory Chapter7. etermiistic Sigals with Ukow Parameters afiseh S. Mazloum ov. 3th Backgroud Importace of sigal iformatio Ukow amplitude Ukow arrival time Siusoidal detectio Classical liear

Διαβάστε περισσότερα

APPENDIX A DERIVATION OF JOINT FAILURE DENSITIES

APPENDIX A DERIVATION OF JOINT FAILURE DENSITIES APPENDIX A DERIVAION OF JOIN FAILRE DENSIIES I his Appedi we prese he derivaio o he eample ailre models as show i Chaper 3. Assme ha he ime ad se o ailre are relaed by he cio g ad he sochasic are o his

Διαβάστε περισσότερα

C M. V n: n =, (D): V 0,M : V M P = ρ ρ V V. = ρ

C M. V n: n =, (D): V 0,M : V M P = ρ ρ V V. = ρ »»...» -300-0 () -300-03 () -3300 3.. 008 4 54. 4. 5 :.. ;.. «....... :. : 008. 37.. :....... 008.. :. :.... 54. 4. 5 5 6 ... : : 3 V mnu V mn AU 3 m () ; N (); N A 6030 3 ; ( ); V 3. : () 0 () 0 3 ()

Διαβάστε περισσότερα

Reflection & Transmission

Reflection & Transmission Rflc & Tasmss 4 D. Ray Kw Rflc & Tasmss - D. Ray Kw Gmc Opcs (M wavs flc fac - asmss cdc.. Sll s Law: s s 3. Ccal agl: s c / 4. Tal flc wh > c ly f > Rflc & Tasmss - D. Ray Kw Pla Wav λ wavfs λ λ. < ;

Διαβάστε περισσότερα

ΕΡΓΑΣΙΑ ΜΑΘΗΜΑΤΟΣ: ΘΕΩΡΙΑ ΒΕΛΤΙΣΤΟΥ ΕΛΕΓΧΟΥ ΦΙΛΤΡΟ KALMAN ΜΩΥΣΗΣ ΛΑΖΑΡΟΣ

ΕΡΓΑΣΙΑ ΜΑΘΗΜΑΤΟΣ: ΘΕΩΡΙΑ ΒΕΛΤΙΣΤΟΥ ΕΛΕΓΧΟΥ ΦΙΛΤΡΟ KALMAN ΜΩΥΣΗΣ ΛΑΖΑΡΟΣ ΑΡΙΣΤΟΤΕΛΕΙΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΘΕΣΣΑΛΟΝΙΚΗΣ ΤΜΗΜΑ ΜΑΘΗΜΑΤΙΚΩΝ ΜΕΤΑΠΤΥΧΙΑΚΟ ΠΡΟΓΡΑΜΜΑ ΣΠΟΥΔΩΝ ΘΕΩΡΗΤΙΚΗ ΠΛΗΡΟΦΟΡΙΚΗ ΚΑΙ ΘΕΩΡΙΑ ΣΥΣΤΗΜΑΤΩΝ & ΕΛΕΓΧΟΥ ΕΡΓΑΣΙΑ ΜΑΘΗΜΑΤΟΣ: ΘΕΩΡΙΑ ΒΕΛΤΙΣΤΟΥ ΕΛΕΓΧΟΥ ΦΙΛΤΡΟ KALMAN ΜΩΥΣΗΣ

Διαβάστε περισσότερα

Reminders: linear functions

Reminders: linear functions Reminders: linear functions Let U and V be vector spaces over the same field F. Definition A function f : U V is linear if for every u 1, u 2 U, f (u 1 + u 2 ) = f (u 1 ) + f (u 2 ), and for every u U

Διαβάστε περισσότερα

Solve the difference equation

Solve the difference equation Solve the differece equatio Solutio: y + 3 3y + + y 0 give tat y 0 4, y 0 ad y 8. Let Z{y()} F() Taig Z-trasform o both sides i (), we get y + 3 3y + + y 0 () Z y + 3 3y + + y Z 0 Z y + 3 3Z y + + Z y

Διαβάστε περισσότερα

Figure A.2: MPC and MPCP Age Profiles (estimating ρ, ρ = 2, φ = 0.03)..

Figure A.2: MPC and MPCP Age Profiles (estimating ρ, ρ = 2, φ = 0.03).. Supplemental Material (not for publication) Persistent vs. Permanent Income Shocks in the Buffer-Stock Model Jeppe Druedahl Thomas H. Jørgensen May, A Additional Figures and Tables Figure A.: Wealth and

Διαβάστε περισσότερα

Galatia SIL Keyboard Information

Galatia SIL Keyboard Information Galatia SIL Keyboard Information Keyboard ssignments The main purpose of the keyboards is to provide a wide range of keying options, so many characters can be entered in multiple ways. If you are typing

Διαβάστε περισσότερα

2005 Journal of Software , ) , ) Automatic Selection of Kernel-Bandwidth for Mean-Shift Object Tracking

2005 Journal of Software , ) , ) Automatic Selection of Kernel-Bandwidth for Mean-Shift Object Tracking -985/5/6(9)54 5 Joral o Sotware Vol6, No9 Mea-Sht,+,,, (, ) (, 479) Atomat Seleto o Kerel-Badwdth or Mea-Sht Obet Trag PENG Ng-Sog,+, YANG Je, LIU Zh, ZHANG Feg-Chao (Isttte o Image Proessg ad Patter Reogto,

Διαβάστε περισσότερα

Riesz ( ) Vol. 47 No u( x, t) 5 x u ( x, t) + b. 5 x u ( x, t), 5 x = R D DASSL. , Riesz. , Riemann2Liouville ( R2L ) = a

Riesz ( ) Vol. 47 No u( x, t) 5 x u ( x, t) + b. 5 x u ( x, t), 5 x = R D DASSL. , Riesz. , Riemann2Liouville ( R2L ) = a 47 () Vo. 47 No. 008 Joura of Xiame Uiversiy (Na ura Sciece) Ja. 008 Riesz, 3 (., 36005 ;.,,400, ) : Riesz. Iic,Liu, Riesz. Riesz.,., Riesz.. : Riesz ; ; ; ; :O 4. 8 :A :04380479 (008) 000005,, [ - 3 ].,.

Διαβάστε περισσότερα

Rethinking Connes' approach to the standard model of particle physics via non-commutative geometry.

Rethinking Connes' approach to the standard model of particle physics via non-commutative geometry. Rethinking Connes' approach to the standard model of particle physics via non-commutative geometry. Shane Farnsworth, joint work with Latham Boyle. Perimeter Institute for Theoretical Physics arxiv:1408.5367,

Διαβάστε περισσότερα

ITU-R P (2012/02) &' (

ITU-R P (2012/02) &' ( ITU-R P.530-4 (0/0) $ % " "#! &' ( P ITU-R P. 530-4 ii.. (IPR) (ITU-T/ITU-R/ISO/IEC).ITU-R http://www.itu.int/itu-r/go/patents/en. ITU-T/ITU-R/ISO/IEC (http://www.itu.int/publ/r-rec/en ) () ( ) BO BR BS

Διαβάστε περισσότερα

Japanese Fuzzy String Matching in Cooking Recipes

Japanese Fuzzy String Matching in Cooking Recipes 1 Japanese Fuzzy String Matching in Cooking Recipes Michiko Yasukawa 1 In this paper, we propose Japanese fuzzy string matching in cooking recipes. Cooking recipes contain spelling variants for recipe

Διαβάστε περισσότερα

A NOTE ON ENNOLA RELATION. Jae Moon Kim and Jado Ryu* 1. INTRODUCTION

A NOTE ON ENNOLA RELATION. Jae Moon Kim and Jado Ryu* 1. INTRODUCTION TAIWANESE JOURNAL OF MATHEMATICS Vol 8, No 5, pp 65-66, Ocober 04 DOI: 0650/m804665 Th paper avalable ole a hp://ouralawamahocorw A NOTE ON ENNOLA RELATION Jae Moo Km ad Jado Ryu* Abrac Eola ve a example

Διαβάστε περισσότερα

ΓΗ ΚΑΙ ΣΥΜΠΑΝ. Εικόνα 1. Φωτογραφία του γαλαξία μας (από αρχείο της NASA)

ΓΗ ΚΑΙ ΣΥΜΠΑΝ. Εικόνα 1. Φωτογραφία του γαλαξία μας (από αρχείο της NASA) ΓΗ ΚΑΙ ΣΥΜΠΑΝ Φύση του σύμπαντος Η γη είναι μία μονάδα μέσα στο ηλιακό μας σύστημα, το οποίο αποτελείται από τον ήλιο, τους πλανήτες μαζί με τους δορυφόρους τους, τους κομήτες, τα αστεροειδή και τους μετεωρίτες.

Διαβάστε περισσότερα

6.003: Signals and Systems

6.003: Signals and Systems 6.3: Signals and Sysems Modulaion December 6, 2 Communicaions Sysems Signals are no always well mached o he media hrough which we wish o ransmi hem. signal audio video inerne applicaions elephone, radio,

Διαβάστε περισσότερα

( ) ( ) ( ) Fourier series. ; m is an integer. r(t) is periodic (T>0), r(t+t) = r(t), t Fundamental period T 0 = smallest T. Fundamental frequency ω

( ) ( ) ( ) Fourier series. ; m is an integer. r(t) is periodic (T>0), r(t+t) = r(t), t Fundamental period T 0 = smallest T. Fundamental frequency ω Fourier series e jm when m d when m ; m is an ineger. jm jm jm jm e d e e e jm jm jm jm r( is periodi (>, r(+ r(, Fundamenal period smalles Fundamenal frequeny r ( + r ( is periodi hen M M e j M, e j,

Διαβάστε περισσότερα

The Equivalence Theorem in Optimal Design

The Equivalence Theorem in Optimal Design he Equivalece heorem i Optimal Desig Raier Schwabe & homas Schmelter, Otto vo Guericke Uiversity agdeburg Bayer Scherig Pharma, Berli rschwabe@ovgu.de PODE 007 ay 4, 007 Outlie Prologue: Simple eamples.

Διαβάστε περισσότερα

Apr Vol.26 No.2. Pure and Applied Mathematics O157.5 A (2010) (d(u)d(v)) α, 1, (1969-),,.

Apr Vol.26 No.2. Pure and Applied Mathematics O157.5 A (2010) (d(u)d(v)) α, 1, (1969-),,. 2010 4 26 2 Pure and Applied Matheatics Apr. 2010 Vol.26 No.2 Randić 1, 2 (1., 352100; 2., 361005) G Randić 0 R α (G) = v V (G) d(v)α, d(v) G v,α. R α,, R α. ; Randić ; O157.5 A 1008-5513(2010)02-0339-06

Διαβάστε περισσότερα

The Research on Sampling Estimation of Seasonal Index Based on Stratified Random Sampling

The Research on Sampling Estimation of Seasonal Index Based on Stratified Random Sampling 5 7 008 7 Statistical Research Vol. 5, No7 Jul. 008 :,,, : ; ; ; :O :A :00 4565 (008) 07 0070 04 The Research on Sapling Estiation of Seasonal Index Based on Stratified Rando Sapling Deng Ming Abstract

Διαβάστε περισσότερα

Probabilistic Approach to Robust Optimization

Probabilistic Approach to Robust Optimization Probabilistic Approach to Robust Optimization Akiko Takeda Department of Mathematical & Computing Sciences Graduate School of Information Science and Engineering Tokyo Institute of Technology Tokyo 52-8552,

Διαβάστε περισσότερα

) 2. δ δ. β β. β β β β. r k k. tll. m n Λ + +

) 2. δ δ. β β. β β β β. r k k. tll. m n Λ + + Techical Appedix o Hamig eposis ad Helpig Bowes: The ispaae Impac of Ba Cosolidaio (o o be published bu o be made available upo eques. eails of Poofs of Poposiios 1 ad To deive Poposiio 1 s exac ad sufficie

Διαβάστε περισσότερα

Vol. 31,No JOURNAL OF CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY Feb

Vol. 31,No JOURNAL OF CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY Feb Ξ 31 Vol 31,No 1 2 0 0 1 2 JOURNAL OF CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY Feb 2 0 0 1 :025322778 (2001) 0120016205 (, 230026) : Q ( m 1, m 2,, m n ) k = m 1 + m 2 + + m n - n : Q ( m 1, m 2,, m

Διαβάστε περισσότερα

Feasible Regions Defined by Stability Constraints Based on the Argument Principle

Feasible Regions Defined by Stability Constraints Based on the Argument Principle Feasible Regions Defined by Stability Constraints Based on the Argument Principle Ken KOUNO Masahide ABE Masayuki KAWAMATA Department of Electronic Engineering, Graduate School of Engineering, Tohoku University

Διαβάστε περισσότερα

ME 365: SYSTEMS, MEASUREMENTS, AND CONTROL (SMAC) I

ME 365: SYSTEMS, MEASUREMENTS, AND CONTROL (SMAC) I ME 365: SYSTEMS, MEASUREMENTS, AND CONTROL SMAC) I Dynamicresponseof 2 nd ordersystem Prof.SongZhangMEG088) Solutions to ODEs Forann@thorderLTIsystem a n yn) + a n 1 y n 1) ++ a 1 "y + a 0 y = b m u m)

Διαβάστε περισσότερα

! "# $"%%&$$'($)*#'*#&+$ ""$&#! "#, &,$-.$! "$-/+#0-, *# $-*/+,/+%!(#*#&1!/+# ##$+!%2&$*2$ 3 4 #' $+#!#!%0 -/+ *&

! # $%%&$$'($)*#'*#&+$ $&#! #, &,$-.$! $-/+#0-, *# $-*/+,/+%!(#*#&1!/+# ##$+!%2&$*2$ 3 4 #' $+#!#!%0 -/+ *& ! "# $"%%&$$'($)*#'*#&+$ ""$&#! "#, &,$-.$! "$-/+#0-, *# $-*/+,/+%!(#*#&1!/+# ##$+!%2&$*2$ 3 4 #' $+#!#!%0 -/+ *& '*$$%!#*#&-!5!&,-/+#$!&- &"/ "$,&/#!6$7,&78 "$% &$&'#-/+#!5*% 3 +!$ 9 &$*,2"%& #$- 3 '*$%#

Διαβάστε περισσότερα

Lifting Entry 2. Basic planar dynamics of motion, again Yet another equilibrium glide Hypersonic phugoid motion MARYLAND U N I V E R S I T Y O F

Lifting Entry 2. Basic planar dynamics of motion, again Yet another equilibrium glide Hypersonic phugoid motion MARYLAND U N I V E R S I T Y O F ifting Entry Basic planar dynamics of motion, again Yet another equilibrium glide Hypersonic phugoid motion MARYAN 1 010 avid. Akin - All rights reserved http://spacecraft.ssl.umd.edu ifting Atmospheric

Διαβάστε περισσότερα

HONDA. Έτος κατασκευής

HONDA. Έτος κατασκευής Accord + Coupe IV 2.0 16V (CB3) F20A2-A3 81 110 01/90-09/93 0800-0175 11,00 2.0 16V (CB3) F20A6 66 90 01/90-09/93 0800-0175 11,00 2.0i 16V (CB3-CC9) F20A8 98 133 01/90-09/93 0802-9205M 237,40 2.0i 16V

Διαβάστε περισσότερα

1. 1. R (n) = f (n, S m ax, R ) (1) S m ax. R = S m in. V o l. 16 N o. 3 A ugust A CTA M A T ER IA E COM PO S ITA E S IN ICA ,,,

1. 1. R (n) = f (n, S m ax, R ) (1) S m ax. R = S m in. V o l. 16 N o. 3 A ugust A CTA M A T ER IA E COM PO S ITA E S IN ICA ,,, 16 3 1999 8 A CTA M A T ER IA E COM PO S ITA E S I ICA V o l. 16 o. 3 A ugust 1999 (, 210016) 3 (3, 210016),,,,,,, TB 330. 1, O 346. 2,, K. L. R eifs ider [1 ] :,,,,,,,, 1,, : R () = f (, S m ax, R ) (1)

Διαβάστε περισσότερα