×

A BMI approach to guaranteed cost control of discrete-time uncertain system with both state and input delays. (English) Zbl 1333.93162

Summary: In this study, the guaranteed cost control of discrete time uncertain system with both state and input delays is considered. Sufficient conditions for the existence of a memoryless state feedback guaranteed cost control law are given in the bilinear matrix inequality form, which needs much less auxiliary matrix variables and storage space. Furthermore, the design of guaranteed cost controller is reformulated as an optimization problem with a linear objective function, bilinear, and linear matrix inequalities constraints. A nonlinear semi-definite optimization solver – PENLAB is used as a solution technique. A numerical example is given to demonstrate the effectiveness of the proposed method.

MSC:

93C55 Discrete-time control/observation systems
93C41 Control/observation systems with incomplete information
93B40 Computational methods in systems theory (MSC2010)
93-04 Software, source code, etc. for problems pertaining to systems and control theory
93B17 Transformations
Full Text: DOI

References:

[1] LinC, WangQG, LeeTH. A less conservative robust stability test for linear uncertain time‐delay systems. IEEE Transactions on Automatic Control2006; 51(1):87-91. · Zbl 1366.93469
[2] MoonYS, ParkP, KwonWH, LeeYS. Delay‐dependent robust stabilization of uncertain state‐delayed systems. International Journal of Control2001; 74(14):1447-1455. · Zbl 1023.93055
[3] GaoH, ChenTW. New results on stability of discrete‐time systems with time‐varying state delay. IEEE Transactions on Automatic Control2007; 52(2):328-334. · Zbl 1366.39011
[4] HeY, WuM, LiuGP, SheJH. Output feedback stabilization for a discrete‐time system with a time‐varying delay. IEEE Transactions on Automatic Control2008; 53(10):2372-2377. · Zbl 1367.93507
[5] ChangSSSL, PengT. Adaptive guaranteed cost control of systems with uncertain parameters. IEEE Transactions on Automatic Control1972; 17(4):474-483. · Zbl 0259.93018
[6] ChenWH, GuanZH, LuXM. Delay‐dependent guaranteed cost control for uncertain discrete‐time systems with both state and input delays. Journal of the Franklin Institute2004; 341(5):419-430. · Zbl 1055.93054
[7] NianXH, SunZM, WangHB, ZhangH, WangX. Bilinear matrix inequality approaches to robust guaranteed cost control for uncertain discrete‐time delay system. Optimal Control Applications and Methods2012; 34(4):433-441. · Zbl 1302.93083
[8] NianXH, SunZM, WangX. Robust guaranteed cost decentralized stabilization for uncertain discrete large‐scale systems with delays via state feedback and output feedback. Journal of Optimization Theory and Applications2012; 155:694-706. · Zbl 1258.93096
[9] YuL, GaoFR. Optimal guaranteed cost control of discrete‐time uncertain systems with both state and input delays. Journal of the Franklin Institute2001; 338(1):101-110. · Zbl 0998.93512
[10] ZuoZQ, WangYJ. Novel optimal guaranteed cost control of uncertain discrete systems with both state and input delays. Journal of Optimization Theory and Applications2008; 139(1):159-170. · Zbl 1152.93029
[11] BoydS, El GhaouiL, FeronE, BalakrishnanV. Linear Matrix Inequalities in System and Control Theory. SIAM: Philadelphia, PA, 1994. · Zbl 0816.93004
[12] GohKC, SafonovMG, LyJH. Robust synthesis via bilinear matrix inequalities. International Journal of Robust and Nonlinear Control1996; 6(9):1079-1095. · Zbl 0861.93015
[13] SafonovMG, GohKC, LyJH. Control system synthesis via bilinear matrix inequalities. Procedings of the American Control Conference, Vol. 1: Baltimore, MD, June 1994; 45-49.
[14] KanevS, SchererC, VerhaegenM, De SchutterB. Robust output‐feedback controller design via local BMI optimization. Automatica2004; 40(7):1115-1127. · Zbl 1051.93042
[15] VanAntwerpJG, BraatzRD, SahinidisNV. Globally optimal robust control for systems with time‐varying nonlinear perturbations. Computers & Chemical Engineering1997; 21:125-130.
[16] VanAntwerpJG, BraatzRD. A tutorial on linear and bilinear matrix inequalities. Journal of Process Control2000; 10(4):363-385.
[17] PetersenIR. A stabilization algorithm for a class of uncertain linear systems. Systems & Control Letters1987; 8(4):351-357. · Zbl 0618.93056
[18] BeranE, VandenbergheL, BoydS. A global BMI algorithm based on the generalized Benders decomposition. Proceedings of the European Control Conference, Brussels, Belgium, 1997; 1074-1082.
[19] FukudaM, KojimaM. Branch‐and‐cut algorithms for the bilinear matrix inequality eigenvalue problem. Computational Optimization and Applications2001; 19(1):79-105. · Zbl 0979.65051
[20] GohKC, SafonovMG, PapavassilopoulosGP. Global optimization for the biaffine matrix inequality problem. Journal of Global Optimization1995; 7(4):365-380. · Zbl 0844.90083
[21] TuanDH, ApkarianP, NakashimaY. A new Lagrangian dual global optimization algorithm for solving bilinear matrix inequalities. Proceedings of the American Control Conference, Vol. 3: San Diego, California, June 1999; 1851-1855.
[22] ZhengF, WangQG, LeeTH. A heuristic approach to solving a class of bilinear matrix inequality problems. Systems & Control Letters2002; 47(2):111-119. · Zbl 1003.93017
[23] HassibiA, HowJ, BoydS. A path‐following method for solving BMI problems in control. Proceedings of the American Control Conference, Vol. 2: San Diego, California, June 1999; 1385-1389.
[24] IwasakiI. The dual iteration for fixed‐order control. IEEE Transactions on Automatic Control. 1999; 44(4):783-788. · Zbl 0957.93029
[25] DoyleJC. Synthesis of robust controllers and filters. IEEE Conference on Decision and Control1983; 22:109-114.
[26] GahinetP, NemirovskiiA, LaubAJ, ChilaliM. The LMI control toolbox. IEEE Conference on Decision and Control1994; 3:2038-2041.
[27] HenrionD, LöfbergJ, KocvaraM, StinglM. Solving polynomial static output feedback problems with PENBMI. IEEE Conference on Decision and Control2005; 7581-7586.
[28] FialaJ, KočvaraM, StinglM. PENLAB: a MATLAB solver for nonlinear semidefinite optimization. (Available from: http://arxiv.org/abs/1311.5240) [Accessed on 20 November 2013].
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.