H ∞ control for discrete-time nonlinear Markov jump systems with multiplicative noise and sector constraint
Corresponding Author
Hongji Ma
The Seventh Research Division, the Department of Systems and Control, LMIB, Beihang University (BUAA), Beijing, 100083, P.R. China
College of Science, Shandong University of Science and Technology, Qingdao, 266590, P.R. China
Correspondence to: Hongji Ma, The Seventh Research Division, the Department of Systems and Control, LMIB, Beihang University (BUAA), Beijing, 100083, P.R. China.
E-mail: [email protected]
Search for more papers by this authorYingmin Jia
The Seventh Research Division, the Department of Systems and Control, LMIB, Beihang University (BUAA), Beijing, 100083, P.R. China
Search for more papers by this authorCorresponding Author
Hongji Ma
The Seventh Research Division, the Department of Systems and Control, LMIB, Beihang University (BUAA), Beijing, 100083, P.R. China
College of Science, Shandong University of Science and Technology, Qingdao, 266590, P.R. China
Correspondence to: Hongji Ma, The Seventh Research Division, the Department of Systems and Control, LMIB, Beihang University (BUAA), Beijing, 100083, P.R. China.
E-mail: [email protected]
Search for more papers by this authorYingmin Jia
The Seventh Research Division, the Department of Systems and Control, LMIB, Beihang University (BUAA), Beijing, 100083, P.R. China
Search for more papers by this authorSUMMARY
This paper addresses the finite horizon H ∞ control problem for a class of discrete-time nonlinear Markov jump systems with multiplicative noise and nonlinear feedback device. The system nonlinearity occurs in a random way specified by a Bernoulli process, whereas the actuator and sensor nonlinearities are restricted to a sector region. Both the state and the dynamic output feedback H ∞ controllers are devised in terms of difference LMIs. The proposed approach not only allows the resulting system to achieve a prescribed disturbance attenuation level, but also enables the output of actuator/sensor to meet the designated sector condition. Moreover, it is also shown that our approach is well-adapted for dealing with the discrete-time Markov jump systems with saturated actuator and sensor. Finally, a backward iterative algorithm is provided to solve the obtained difference LMIs and a numerical example is presented to verify the efficiency of the theoretical results. Copyright © 2013 John Wiley & Sons, Ltd.
REFERENCES
- 1 Siqueria AAG, Terra MH. A fault-tolerant manipulator robot based on H2, H ∞ and H2 ∕ H ∞ Markov controls. IEEE Transactions on Mechatronics 2009; 14: 257–263.
- 2 Lin X, Hassibi A, How JP. Control with random communication delay via a discrete-time jump system approach. Proceedings of 2000 American Control Conference, Chicago, IL, U.S.A., 2000; 2199–2204.
- 3 Stocia A, Yaesh I. Jump Markovian-based control of wing deployment for an uncrewed air vehicle. Journal of Guidance, Control, and Dynamics 2002; 25: 407–411.
- 4 Yin G, Zhou XY. Markowitz's mean-variance portfolio selection with regime switching: from discrete-time models to their continuous-time limits. IEEE Transactions on Automatic Control 2004; 49: 349–360.
- 5 Aberkane S, Dragan V. H ∞ filtering of periodic Markovian jump systems: application to filtering with communication constraints. Automatica 2012; 48: 3151–3156.
- 6 Boukas EK. Control of Singular Systems with Random Abrupt Changes. Springer-Verlag: Berlin, 2008.
- 7
Costa OLV,
Fragoso MD,
Marques RP. Discrete-Time Markovian Jump Linear Systems. Springer-Verlag: London, 2005.
10.1007/b138575 Google Scholar
- 8 Li H, Zhou Q, Chen B, Liu H. Parameter-dependent robust stability for uncertain Markovian jump systems with time delay. Journal of the Franklin Institute 2011; 384: 738–748.
- 9 Ibrahim RA. Parametric Random Vibration. Research Studies Press: Letchworth, England, 1985.
- 10
Mao X,
Yuan C. Stochastic Differential Equations with Markovian Switching. Imperial College Press: London, 2006.
10.1142/p473 Google Scholar
- 11 Zhao P, Kang Y, Zhai D. On input-to-state stability of stochastic nonlinear systems with Markovian jumping parameters. International Journal of Control 2012; 85: 343–349.
- 12 Li X, Zhou XY, Ait Rami M. Indefinite stochastic linear quadratic control with Markovian jumps in infinite time horizon. Journal of Global Optimization 2003; 27: 149–175.
- 13 Lin Z, Lin Y, Zhang W. A unified design for state and output feedback H ∞ control of nonlinear stochastic Markovian jump systems with state and disturbance-dependent noise. Automatica 2009; 45: 2955–2962.
- 14 Wei G, Wang Z, Shu H, Fang J. A delay-dependent approach to H ∞ filtering for stochastic delayed jumping systems with sensor nonlinearities. International Journal of Control 2007; 80: 885–897.
- 15 Ni Y, Zhang W, Fang H. On the observability and detectability of linear stochastic systems with Markov jumps and multiplicative noise. Journal of Systems Science and Complexity 2010; 23: 102–115.
- 16 Ma H, Jia Y. Input-output finite-time mean square stabilization of stochastic systems with Markovian jump. International Journal of Systems Science 2012; DOI: 10.1080/00207721.2012.720299.
- 17 Dragan V, Morozan T, Stoica AM. Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems. Springer-Verlag: New York, 2010.
- 18 Ma H, Jia Y, Du J, Yu F. Stochastic H2 optimal control of discrete-time Markov jump systems with periodic coefficients. Proceedings of 2012 American Control Conference, Montreal, Canada, 2012; 1640–1645.
- 19 Ma H, Zhang W, Hou T. Infinite horizon H2 ∕ H ∞ control for discrete-time time-varying Markov jump systems with multiplicative noise. Proceedings of 18th IFAC World Congress, Milano, Italy, 2011; 4626–4631.
- 20 Cao Y, Lin Z, Chen BM. An output feedback H ∞ controller design for linear systems subject to sensor nonlinearities. IEEE Transactions on Circuits and Systems-I: Fundamental Theory and Applications 2003; 50: 914–921.
- 21 Kreisselmeier G. Stabilization of linear systems in the presence of output measurement saturation. System and Control Letters 1996; 29: 27–30.
- 22 Wang Z, Ho DWC, Dong H, Gao H. Robust H ∞ finite-horizon control for a class of stochastic nonlinear time-varying systems subject to sensor and actuator saturations. IEEE Transactions on Automatica Control 2010; 55: 1716–1722.
- 23 Liu H, Sun F, Boukas EK. Robust control of uncertain discrete-time Markovian jump systems with actuator saturation. International Journal of Control 2006; 79: 805–812.
- 24 Shen B, Wang Z, Shu H, Wei G. Robust H ∞ finite-horizon filtering with randomly occurring nonlinearities and quantization effects. Automatica 2010; 46: 1743–1751.
- 25 Wei G, Wang Z, Shen B. Probability-dependent gain-scheduled control for discrete stochastic delayed systems with randomly occurring nonlinearities. International Journal of Robust and Nonlinear Control 2013; 23(7): 815–826.
- 26 Ma L, Wang Z, Bo Y, Guo Z. A game theory approach to mixed H2 ∕ H ∞ control for a class of stochastic time-varying systems with randomly occurring nonlinearities. System and Control Letters 2011; 60: 1009–1015.
- 27 Shaked U, Suplin V. A new bounded real lemma representation for the continuous-time case. IEEE Transactions on Automatic Control 2001; 46: 1420–1426.
- 28 Van de Schaft AJ. L2-gain analysis of nonlinear systems and nonlinear state feedback H ∞ control. IEEE Transactions on Automatic Control 1992; 37: 770–784.
- 29 Chen BS, Tseng C, Uang H. Robustness design of nonlinear dynamic systems via fuzzy linear control. IEEE Transactions on Fuzzy Systems 1999; 7: 571–585.
- 30 Khalil HK. Nonlinear Systems. Prentice-Hall: Englewood Cliffs, NJ, 2002.
- 31
Boyd S,
Ghaoui LE,
Feron E,
Balakrishnan V. Linear Matrix Inequalities in System and Control Theory. SIAM: Philadelphia, PA, 1994.
10.1137/1.9781611970777 Google Scholar
- 32 Bern N, Shaked U. H ∞ control for discrete-time nonlinear stochastic systems. IEEE Transactions on Automatic Control 2006; 51: 1041–1046.