期刊
IEEE TRANSACTIONS ON FUZZY SYSTEMS
卷 19, 期 6, 页码 1014-1030出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2011.2159011
关键词
Networked nonlinear systems; output feedback; piecewise Lyapunov functions; Takagi-Sugeno (T-S) fuzzy affine systems; unreliable communication links
资金
- City University of Hong Kong [SRG7002456]
- National Natural Science Foundation of China [60825303, 60834003, 61004038]
- 973 Project [2009CB320600]
- Postdoctoral Science Foundation of China [20100471059]
- Overseas Talents Foundation of the Harbin Institute of Technology
This paper investigates the problem of robust H output-feedback control for a class of networked nonlinear system with multiple packet dropouts. The nonlinear plant is represented by Takagi-Sugeno (T-S) fuzzy affine dynamic models with norm-bounded uncertainties, and stochastic variables that satisfy the Bernoulli random binary distribution are adopted to characterize the data-missing phenomenon. The objective is to design an admissible output-feedback controller that guarantees the stochastic stability of the resulting closed-loop system with a prescribed H-infinity disturbance attenuation level. It is assumed that the plant premise variables, which are often the state variables or their functions, are not measurable so that the controller implementation with state-space partition may not be synchronous with the state trajectories of the plant. Based on a piecewise quadratic Lyapunov function combined with an S-procedure and some matrix inequality convexifying techniques, two different approaches to robust output-feedback controller design are developed for the underlying T-S fuzzy affine systems with unreliable communication links. The solutions to the problem are formulated in the form of linear matrix inequalities (LMIs). Finally, simulation examples are provided to illustrate the effectiveness of the proposed approaches.
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