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Başlık: H∞ control and input-to-state stabilization for hybrid systems with time delayYazar(lar):SUGATI, Taghreed G. ; ALWAN, Mohamad S. ; LIU, Xinzhi Cilt: 64 Sayı: 1 Sayfa: 029-038 DOI: 10.1501/Commua1_0000000725 Yayın Tarihi: 2015 PDF

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Vo lu m e 6 4 , N u m b e r 1 , P a g e s 2 9 –3 8 (2 0 1 5 ) D O I: 1 0 .1 5 0 1 / C o m m u a 1 _ 0 0 0 0 0 0 0 7 2 5 IS S N 1 3 0 3 –5 9 9 1

H1 CONTROL AND INPUT-TO-STATE STABILIZATION FOR

HYBRID SYSTEMS WITH TIME DELAY

TAGHREED G. SUGATI, MOHAMAD S. ALWAN, AND XINZHI LIU

Abstract. This paper addresses the problem of designing a robust reliable

H1control and a switching law to guarantee input-to-state stabilization (ISS)

for a class of uncertain switched control systems with time delay not only when all the actuators are operational, but also when some of them experience failure. The output of faulty actuators are treated as a disturbance signal that is augmented with the system disturbance input. Multiple Lyapunov function with Razumikhin technique, and average dwell-time switching signal are used to establish the ISS property.

1. Introduction

A switched system is a special class of hybrid systems that consists of a family of continuous- or discrete-time dynamical subsystems, and a switching rule that controls the switchings among the subsystems. One may refer to [7, 8, 12] and the references therein.

The reliable control is the controller that tolerates failures in the control compo-nents. In reality, such failures are frequently encountered, yet the immediate repair may be impossible in some critical cases. Consequently, it is necessary to design a reliable controller that guarantees an acceptable level of performance [3, 11, 15, 18]. In practice, most of the real control systems are subject to some disturbance inputs. ISS notion, introduced in [13] which addresses the system response to a bounded disturbance when the unforced system is asymptotically stable, is an e¢ cient tool to deal with these disturbances. In [1], a robust reliable H1controller was designed to guarantee ISS with a desired level of performance for stochastic systems with time delay. In this work, the nonzero output of faulty actuators was augmented with the system disturbance. Furthermore, Lyapunov function with the Razumikhin approach were used in that work.

Received by the editors: September 07, 2014; Accepted: March 03, 2015. 2010 Mathematics Subject Classi…cation. 93B36, 93D99, 93B51, 74H55, 74M05.

Key words and phrases. Switched systems, ISS, robust reliable H1control, multiple Lyapunov

functions, average dwell time, time delay.

c 2 0 1 5 A n ka ra U n ive rsity

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The novelty of this work is to develop new su¢ cient conditions that guarantee the input-to-state stabilization and H1 performance of the switched system in the presence of the disturbance, state uncertainties, time delay, and nonlinear lumped perturbation not only when all the actuators are operational, but also when some of them experience failure. While in most of the available literature on reliable controls, the faulty actuators are modeled as outages (i.e., zero output), in this work the output signal of these actuators is treated as a disturbance signal that is augmented with the system disturbance input. The latter case is more practical because most of the control component failures occur unexpectedly. The method of multiple Lyapunov functions is utilized to analyze the ISS. It is well known that the stability of a switched system is not guaranteed by the stability of each individual mode unless the switching among them is ruled by a logic-based switching signal, where in this work the average dwell-time condition is used. To the best of our knowledge, these results have not been studied in the available literature.

This paper is organized as follows. Section 2 involves the problem description, de…nitions, and a useful lemma. The main results and proofs are stated in Section 3. A numerical example with simulations is presented in Section 4. The conclusion is given in Section 5.

2. Problem formulation

Consider a class of uncertain switched systems with time delay given by 8 < : _x = (A%(t)+ A%(t))x + (A%(t)+ A%(t))x(t r) + B%(t)u + G%(t)w + f%(t)(x(t r)); z = C%(t)x + F%(t)u; xt0 = (t); t 2 [ r; 0]; r > 0;

where x 2 Rn is the system state, , u 2 Rl is the control input, and w 2 Rp is an input disturbance, which is assumed to be in L2[t0; 1) that is jjwjj22 = R1

t0 jjw(t)jj

2dt < 1, and z 2 Rr is the controlled output. % is the switching rule which is a piecewise constant function de…ned by % : [t0; 1) ! S = f1; 2; ; N g. For r > 0, let Cr be the space of all continuous functions that are de…ned from [ r; 0] to Rn. For any t 2 R+, let x(t) be a function de…ned on [t0; 1]. Then, we de…ne the functional xt : [ r; 0] ! Rn by xt(s) = x(t + s) for all s 2 [ r; 0], and its norm by jjxtjjr = supt r tjjx( )jj, where r > 0 is the time delay. For each i 2 S; Ai is a non Hurwitz matrix, Ki2 Rl n is the control gain matrix such that u = Kix, where (Ai; Bi) is assumed to be stabilizable, fi( ) 2 Rn is some nonlin-earity, Ai; Bi; Gi; Ciand Fi are known real constant matrices, and Ai; Ai are piecewise continuous functions representing system parameter uncertainties. For any i 2 S the closed-loop system is

8 < : _x = (Ai+ Ai+ BiKi)x + (Ai+ Ai)x(t r) + Giw + fi(x(t r)); z = Cicx; Cic= Ci+ FiKi xt0= (t); t 2 [ r; 0]; r > 0;

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1

To analyze the reliable stabilization with respect to actuator failures, for any i 2 S, we write Bi = Bi + Bi ; where f1; 2; :::; lg the set of actuators that are susceptible to failure, and f1; 2; :::; lg the other set of actuators which are robust to failures and essential to stabilize the given system, moreover, the matrices Bi ; Bi are the control matrices associated with ; respectively, and are generated by zeroing out the columns corresponding to and , respectively. The pair (Ai; Bi ) is assumed to be stabilizable. For a …xed i 2 S, let

corresponds to some of the actuators that experience failure, and assume that the output of faulty actuators is any arbitrary energy-bounded signal which belongs to L2[t0; 1). Then, the decomposition becomes Bi= Bi + Bi ; where Bi and Bi have the same de…nition of Bi and Bi , respectively. Furthermore, the augmented disturbance input to the system becomes wF = (wT (uF)T)T; where uF 2 Rlis the failure vector whose elements corresponding to the set of faulty actuators , and F here stands for “failure". Thus, the closed-loop system becomes

8 < : _x = (Ai+ Ai+ Bi Ki)x + (Ai+ Ai)x(t r) + GicwF + fi(x(t r)); z = Cicx; xt0 = (t); t 2 [ r; 0]; r > 0; (1) where Gic= (Gi Bi ).

De…nition 1. System (2) is said to be robustly globally exponentially ISS if there exist > 0; > 0 and a function 2 K such that the solution x(t) exists 8t t0 and satis…es

jjxjj jjxt0jjre

(t t0)+ sup

t0 t

jjw( )jj :

De…nition 2. Given a constant > 0, system (2) is said to be ISS-H1 if there exists a state feedback law u(t) = Kix(t), such that, for any admissible parameter uncertainties Ai and Ai, the closed-loop system (2) is globally exponentially ISS, and the controlled output z satis…es

jjzjj22=

Z 1

t0

jjzjj2dt 2jjwjj22+ m0; for some m0> 0:

Assumption A. For any i 2 S and 8 t 2 R+, Ai(t) = DiUi(t)Hi and Ai(t) = DiUi(t)Hi, with Di; Hi; Di; Hi being known real matrices with appropriate di-mensions, and Ui(t); Ui(t) being unknown real time-varying matrices and satisfying jjUi(t)jj 1 and jjUi(t)jj 1.

Lemma. For any j > 0 (j = 1; ; 5), and a positive- de…nite matrix P , we have (i) 2xTP ( A)x xT(

1P DDTP + 11HTH)x. (ii) 2xTP Gw xT(

2P GGTP )x + 12wTw.

Moreover, for x 2 Cr, if jjx(t r)jj2r qjjxjj2 with q > 1, then (iii) 2xTP Ax(t r) xT( 3P A(A)TP + q 3I)x. (iv) 2xTP ( A)x(t r) xT( 4P DDTP + q 4jjHjj 2)x.

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(v) 2xTP f (x(t r)) xT(

5P2+ 15 qI)x, where > 0 such that jjf(x(t r))jj2 jjx(t r)jj2

r.

Average Dwell Time Condition. The number of switches N (t0; t) in the interval (t0; t) for a …nite t satis…es N (t0; t) N0+t ta0, where N0 is the chatter bound, and a is the average dwell time.

3. Main results

In this section, we shall state and prove our main results. The following theorem gives robust global exponential ISS property of the system.

Theorem 1. For any i 2 S, let Ki and i> 0 be given. Assume that Assumption A holds and there exist positive constants ji> 0 (j = 1; ; 5), a positive-de…nite matrix Pi, and Vi: Rn ! R+ such that

(i) _Vi( (0)) 0 whenever Vi( ) qiVi( (0)); and (suptk 1 s tkjw(s)j)

Vi( (0)) for 2 Cr and t 2 [tk 1; tk); where qi> 1;

(ii) for all k, a tk tk 1 holds where a is the average dwell time, and > 0;

(iii) the following algebraic Riccati-like equation holds

(Ai+ BiKi)TPi+ Pi(Ai+ BiKi) + Pi( 1iDiDiT + 2iGiGTi + 3iAi(Ai)T + 4iDi(Di)T + 5iI)Pi+ 1 1i HiTHi+ ( qi 3i + qi 4ijjH ijj2+ i qi 5i )I + CicTCic+ iPi = 0 (2) where i > 0 such that jjfi( )jj2 ijj jj2r.

Then, system (2) is robustly globally exponentially ISS-H1.

Proof. For all t 2 [ r; 1), let x(t) = x(t; t0; ) be the solution of system (2). For any i 2 S, de…ne Vi(x) = xTPix. Then, min(Pi)jjxjj2 Vi(x) max(Pi)jjxjj2 and

_

Vi(x) = xT[(Ai+ BiKi)TPi+ Pi(Ai+ BiKi)]x + 2xTPi( Ai)x + 2xTPiGiw + 2xTPifi((t r)) + 2xTPi( Ai)x(t r) + 2xTPiAix(t r):

Claim. For any i 2 S, and k 2 N; t 2 [tk 1; tk), conditions (i) and (ii) imply that jjx(t)jj2 Mijj jj2re i(t tk 1)+ ( sup

tk 1 s t

jjw(s)jj); i> 0; Mi> 1: Proof of the claim. Choose Mi> 1 such that

c2ijjxtk 1jj

2

r Mic2ijjxtk 1jj

2

re i(tk tk 1)+ (t) (3)

where (t) = (suptk 1 s t(jjw(s)jj)) and c2i= max(Pi). Let v(t) = Vi(x(t)); for all t 2 [tk 1 r; tk), k = 1; 2; . From (3), we have for t 2 [tk 1 r; tk);

v(t) c2ijjx(t)jj2 c2ijjxtk 1jj

2

r Mic2ijjxtk 1jj

2

re i(tk tk 1)+ (t) If (3) is not true, then there exists t 2 (tk 1; tk) such that

v(t) > Mic2ijjxtk 1jj

2

re i(tk tk 1)+ (t) c2ijjxtk 1jj

2

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1

From the continuity, there exists t 2 (tk 1; t) such that v(t ) = Mic2ijjxtk 1jj

2

re i(tk tk 1)+ (t ) and for all t 2 [tk 1 r; t ], we have

v(t) Mic2ijjxtk 1jj

2

re i(tk tk 1)+ (t) Also, there exists t 2 [tk 1; t ) such that v(t ) = c2ijjxtk 1jj

2

rand for t 2 [t ; t ], v(t) c2ijjxtk 1jj

2

r. Hence, from (??), for all t 2 [t ; t ], and s 2 [ r; 0], we have v(t + s) Mic2ijjxtk 1jj 2 re i(tk tk 2)e i(tk 1 tk 2)+ (t) Miv(t)e i(tk 1 tk 2)+ ( sup tk 1 s t (jjw(s)jj)) (Mie i(tk 1 tk 2)+ 1)v(t) (Mie i + 1)v(t) = qiv(t)

where we used condition (i) to get the second last inequality. Therefore, we have _v(t) 0 for t 2 [t ; t ] which is a contradiction. Now by the claim, the lemma, and condition (2), we have

_ Vi(x) xT[(Ai+ BiKi)TPi+ Pi(Ai+ BiKi) + Pi( 1iDiDiT+ 2iGiGTi + 3iAi(Ai)T + 4iDi(Di)T + 5iI)Pi+ 1 1i HiTHi+ ( qi 3i + qi 4ijjH ijj2+ i qi 5i )I]x + 1 2i wTw iVi(x) + 1 2i wTw; Hence, 8 t 2 [tk 1; tk), we have _Vi(x) iVi(x) iVi(x) + 1 2iw Tw, where i= i iand 0 < i < i. The foregoing inequality implies that, 8t 2 [tk 1; tk), _ Vi(x) iVi(x), provided that Vi(x) > 1 i 2ijjwjj 2; or jjxjj > pjjwjj ic2 2i =: i(jjwjj), where c2= maxi2S max(Pi): Then, for all t 2 [tk 1; tk),

Vi(x(t)) Vi(x(tk 1))e i(t tk 1)

provided that jjxjj > (jjwjj); where (jjwjj) = maxi2Sf i(jjwjj)g. As for the switch-ing, we have for any i; j 2 S,

Vj(x(t)) Vi(x(t)); = c2 c1 ;

where c1 = mini2Sf min(Pi)g and c2 = maxi2Sf max(Pi)g. Then, for i 2 S and t 2 [tk 1; tk),

Vi(x(t)) k 1e i(t tk 1)e i 1(tk 1 tk 2) e 1(t1 t0)V1(x0) provided that jjxjj > (jjwjj). Letting = minf i; i 2 Sg, one may get

Vi(x(t)) k 1e (t t0)V1(x0) = e(k 1) ln (t t0)V1(x0); provided that jjxjj > (jjwjj):

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Using ADTC with N0= ln ; a= ln ; ( < ); for some > 0, we get

Vi(x(t)) e (t t0)V1(x0); provided that jjxjj > (jjwjj): This implies that [5] jjxjj bjjxt0jjre

(t t0)=2+ (sup

t0 tjjw( )jj), 8 t t0;

where b =pe c2=c1, and (s) = q

c2

c1 (s): This completes the proof of exponential

ISS.

To prove the upper bound on jjzjj, for any i 2 S, let Ji= R1 t0 (z Tz 2 iwTw)dt: Then, Ji= Z 1 t0 (zTz 2iwTw) dt + Z 1 t0 _ Vidt Vi(1) + Vi(x0) Z 1 t0 (zTz 2iwTw) dt + Vi(x0) + Z 1 t0 fxT[(Ai+ BiKi)TPi+ Pi(Ai+ BiKi) + Pi( 1iDiDTi + 3iAi(Ai)T + 4iDi(Di)T + 5iI)Pi+ 1 1i HiTHi + (qi 3i + qi 4ijjH ijj2+ i qi 5i )I + i2PiGiGTiPi i2PiGiGTiPi]x + 2xTPiGiwg dt = Vi(x0) + Z 1 t0 fxT[(Ai+ BiKi)TPi+ Pi(Ai+ BiKi) + Pi( 1iDiDiT + 3iAi(Ai)T + 4iDi(Di)T + 5iI)Pi+ 1 1i HiTHi+ ( qi 3i + qi 4ijjH ijj2+ i qi 5i )I + i2PiGiGTiPi + CicTCic]xg dt Z 1 t0 2 i(w i 2G T i Pix)T(w i2G T i Pix) dt:

The last term is strictly negative, using (2) with i2 = 2i, we get Ji Vi(x0) which leads to jjzjj2

2 2jjwjj22+ m0, where m0 = maxi2SfVi(x0)g, and = maxi2Sf ig.

Remark. Theorem 1 provides su¢ cient conditions to ensure the robust global exponential ISS property. The algebraic Riccati-like equation in (2) is to guarantee the existence of the positive-de…nite matrix Pi (for all i 2 S), which implies that the solution trajectories of the subsystems are decreasing outside a certain neigh-bourhood of the disturbance w(t). The role of the average dwell time condition is to organize the switching among the system modes. 1; 2 are tuning parameters to reduce the conservativeness of the Riccati-like equation.

Theorem 2. (Reliability) For any i 2 S, let the constant i > 0 be given, and assume that there exist positive constants ji; (j = 1; ; 5); i; i, a positive-de…nite matrix Pi, and Vi: Rn! R+ such that conditions (i)-(iii) from Theorem 1

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1

hold, Ki= 12 iBiTPi, and the following algebraic Riccati-like equation holds ATi Pi+ PiAi+ Pi( 1iDiDTi + 2iGicGTic iBi BTi + 3iAi(Ai)T + 4iDi(Di)T + 5iI)Pi+ ( qi 3i + qi 4ijjH ijj2+ i qi 5i )I + 1 1i HiTHi+ CicTCic+ iPi= 0; (4) where i > 0 such that jjfi( )jj2 ijj jj2r. Then, system (1) is robustly globally exponentially ISS-H1.

Proof. Let x(t) = x(t; t0; ) be the solution of (1). 8i 2 S, de…ne Vi(x) = xTPix. Then, _ Vi(x) xT[ATiPi+ PiAi+ Pi( 1iDiDiT + 2iGicGicT + 3iAi(Ai)T + 4iDi(Di)T iBi BiT + 5iI)Pi+ 1 1i HiTHi+ ( qi 3i + qi 4ijjH ijj2 + iqi 5i )I]x + 1 2i (wF)TwF iVi(x) + 1 2i (wF)TwF;

where we used the claim proved in Theorem 1, the lemma, the fact that [11] Bi BT

i Bi B

T

i ; and condition (4). Then, for any i 2 S, _Vi(x) iVi(x) iVi(x) + 12i(wF)TwF, where i = i i and 0 < i < i. Then, for all t 2 [tk 1; tk), _Vi(x) iVi(x), provided that jjxjj > jjw F jj p ic2 2i =: i(jjwFjj); which implies that Vi(x(t)) e (t t0)V1(x0) provided that jjxjj > (jjwjj), where

(jjwjj) = maxi2Sf i(jjwjj)g. This also implies that [5] jjxjj bjjxt0jjre (t t0)=2+ sup t0 t jjwF( )jj ; t t0; where b =pe c2=c1, (s) = q c2

c1 (s): As for the upper bound jjzjj, one can follow

the same steps in Theorem 1, where Ji= R1

t0 (z

Tz 2

i(wF)TwF)dt: 4. Numerical examples

Consider system (2) with S = f1; 2g, A1= 0:2 0:1 0 6 ; B1= 3 1 0:1 0:2 ; C1= 2 0:1 0 2 ; F1= 0:1 2 0:1 0 ; A1= 0:1 0:1 0:2 1 ; D1= 1 0 ; H1= 0 1 ; D1= 0 1 ; H1= 1 0 ; G1= 10 01 ; f1= 0:1 sin(xsin(x1(t 1)) 2(t 1)) ; U1= sin(t);

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1 = 2; 11 = 0:2; 1 = 0:1; 1 = 2; 21 = 12; 31 = 0:1; 41 = 0:3; 51 = 0:2; M1= 2; = 3, 1= 0:05, and 1= 0:1. As for the second mode,

A2= 9 0:2 0 0:1 ; B2= 0:1 0:5 0:1 1 ; C2= 1 0 0 0:5 ; F2= 0:1 0 3 0:1 ; A2= 0:3 0:2 0 0:1 ; D2= 0 1 ; H2= 1 0 ; D2= 1 0 ; H2= 0 1 ; G2= 0:5 0 0 1 ; f2= 0:01 sin(x1(t 1)) sin(x2(t 1)) ; U2= sin(t); 2= 0:5; 12= 0:3; 2 = 0:15; 2 = 2:5; 22= 22; 32= 0:2; 42= 0:09; 52= 0:1; M2= 1:1, 2= 0:15, and 2= 0:01: The disturbance wT(t) = 1:2[sin(t) sin(t)].

0 5 10 15 20 25 30 0 0.5 1 1.5 t

State magnitude ||x|| (top) Disturbance inputρ(||w||) (bottom)

(a) Operational actuators.

0 5 10 15 20 25 30 0 0.5 1 1.5 t

State magnitude ||x|| (top) Disturbance inputρ(||wσF

||) (bottom)

(b) Faulty actuators. Figure 1. Input-to-statestabilization, (s) = 1 s, s 2 [ 1; 0].

Case 1. When all actuators are operational, we have P1= 0:7234 0:0157

0:0157 0:5559 ;

P2 =

11:6224 1:2007

1:2007 10:6159 ; with c11 = min(P1) = 9:8173; c12 = max(P1) = 12:4211; c21= min(P2) = 26:6962; c22= max(P2) = 54:1990, so, c1= 9:8173; c2= 54:1990, and K1=

34:9874 4:6636

11:3823 0:9225 ; K2=

1:2381 0:5812

7:7135 7:3350 : Thus, the matrices Ai + BiKi (i = 1; 2) are Hurwitz and a = ln = 1:1783, with = 0:5, the upper bound of the disturbance magnitude is 0:1031, and the cheater bound N0= 0:5853.

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1

Case 2. When there is a failure in the …rst actuator, i.e., B1 = f1g and

B1 = 0 1 0 0:2 ; and B2 = f2g and B2 = 0:1 0 0:1 0 ; we have P1 = 11:7139 3:1981 3:1981 11:5155 ; P2 = 53:1251 4:8927 4:8927 27:3562 ; with c11 = min(P1) = 8:4151; c12 = max(P1) = 14:8144; c21 = 26:4585; c22 = 54:0228, so c1 = 8:4151; c2= 54:0228, and the control gain matrices K1=

35:4616 10:7459

0 0 ;

K2= 0 0

7:8638 7:4506 : Thus, the matrices Ai+ BiKi (i = 1; 2) are Hurwitz and a= 1:2823, the upper bound of the disturbance magnitude is 0:1033, and the cheater bound N0= 0:5378.

Figure 1 shows the simulation results of jjxjj (top) and (s) (bottom) for both cases, where (s) = maxf 1(s); 2(s)g and i(s) = s=

p

c2 i 2i, a = 3. The …gure shows the input-to-state stability of the system where the state magnitude jjxjj is bounded below by the system disturbance magnitude.

5. Conclusion

The system under investigation has been exponentially stabilized by state feed-back robust reliable controllers. The Razumikhin technique along with average dwell time approach by multiple Lyapunov functions has been utilized to ful…ll our purpose, which implies that the results are delay independent. The output of the faulty actuators has been treated as a disturbing signal that has been augmented with the system disturbance.

Acknowledgments.

This work was partially supported by NSERC Canada.

The …rst author acknowledges the sponsorship of King Abdulaziz University, Saudi Arabia.

References

[1] Alwan, M.S., Liu, X.Z., and Xie, W.-C., On design of robust reliable H1control and input-to-state stabilization of uncertain stochastic systems with state delay. Communications in Nonlinear Science and Numerical Simu., vol. 18, no. 4, pp. 1047-1056, 2013.

[2] Chen, G. and Xiang, Z., Robust reliable H1control of switched stochastic sys-tems with time delays under asynchronous switching, Advances in Di¤erential Equations, a Springer Open Journal, article no. 86, 2013.

[3] Cheng, X.M, Gui, W.H., and Gan, Z.J., Robust reliable control for a class of time-varying uncertain impulsive systems. Journal of Central South University Technology, vol. 12, no. 1, pp. 199-202, 2005.

[4] Gao, J., Huang, B., Wang, Z., and Fisher, D.G., Robust reliable control for a class of uncertain nonlinear systems with time-varying multi-state time delays, International Journal of Systems Sciences, vol. 32, no. 7, pp. 817-824, 2001. [5] Khalil, H.K., Nonlinear systems, 3rd Edition. Prentice-Hall, 2002.

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[6] Kuang, Y., Delay di¤erential equations with applications in population dy-namics. Academic press, INC. Mathematics in science and engineering, vol. 191, 1993.

[7] Liberzon, D., Switching in Systems and Control. Birkhäuser, 2003.

[8] Liberzon, D. and Morse, A.S., Basic Problems is Stability and Design of Switched Systems. IEEE Control Systems Magazine, vol. 19, no.5, pp. 59-70, 1999.

[9] Lu, J. and Wu, Z., Robust reliable H1control for uncertain switched linear sys-tems with disturbances. 2nd int. conference (ICIECS), IEEE Xplore, December, 2010.

[10] Luo, X., Yang, L., Yang, H., and Guan, X., Robust reliable control for neutral delay systems, Proceedings of the 6th World Congress on Intelligent Control and Automation, June 21-23, Dalian, China, pp. 144-148, 2006.

[11] Seo, C.J. and Kim, B.K., Robust and reliable H1 control for linear systems with parameter uncertainty and actuator failure. Automatica, vol. 32, no. 3, pp. 465-467, 1996.

[12] Shorten, R., Wirth, F., Mason, O., Wul¤ K., and King C., Stability criteria for switched and hybrid systems. SIAM Review, vol. 49, no. 4, pp. 545, 2007. [13] Sontag, E.D., Smooth stabilization implies coprime factorization, IEEE

Trans-actions on Automatic Control, vol. 34, no. 4, pp. 435-443, 1989.

[14] Teel, A.R., Moreau, L., and Nešic, D., A note on the robustness of ISS stability. Proceeding of the 40th IEEE on decision and control, Florida, pp. 875-880, 2001.

[15] Veillette, R.J., Medanic, J.V., and Perkins, W.R., Design of reliable control systems. IEEE Transactions on Automatic Control, vol. 37, no. 3, pp. 290-304, 1992.

[16] Wang, J., and Shao, H., Delay-dependent robust and reliable H1 control for uncertain time-delay systems with actuator failurs, Journal of the Franklin Institute, vol. 337, pp. 781-791, 2000.

[17] Xu, S., and Chen, T., Robust H1 control for uncertain stochastic systems with state delay, IEEE Transaction on Automatic Control, vol. 47, no. 12, pp. 2089-2094, 2002.

[18] Yang, G.H., Wang, J.L., and Soh Y.C., Reliable H1 control design for linear systems. Automatica, vol. 37, no. 5, pp. 717-725, 2001.

Address : Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario, Canada, N2L 3G1

E-mail : teetawa@gmail.com, malwan@uwaterloo.ca, xinzhi.liu@uwaterloo.ca

0Ba¸sl¬k: Zaman gecikmeli melez sistemler için H

1kontrol ve girdi-konum kararl¬l¬¼g¬

Anahtar Kelimeler: Çevirmeli sistemler, ISS, güçlü güvenilir H1 kontrol, çoklu Lyapunov

Şekil

Figure 1 shows the simulation results of jjxjj (top) and (s) (bottom) for both cases, where (s) = maxf 1 (s); 2 (s)g and i (s) = s=

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