IEEE Transactions on Fuzzy Systems · 2007 · 125 citations · 15 references
Natural SciencesMathematicsDynamical SystemsOptimizationProcess ControlControl System DesignControl SystemsControl TheoryController DesignNonlinear ControlStability TheoryConstraintsDiscrete Nonlinear SystemsDiscrete-time Control SystemsFuzzy ControlFuzzy Control SystemsLyapunov FunctionsLyapunov-based Control Design
In this paper, new approaches to H∞ controller design for a class of discrete-time nonlinear fuzzy systems are proposed based on a relaxed approach in which basis-dependent Lyapunov functions are used. First, two relaxed conditions of nonquadratic stability with H∞ norm bound are presented for this class of systems. The two relaxed conditions are shown to be useful in designing fuzzy control systems. By introducing some additional instrumental matrix variables, the two relaxed conditions are used to develop H∞ controllers. In the control design, the first relaxed condition has fewer inequality constraints, but only admits a common additional matrix variable while the second one can admit multiple additional matrix variables. Finally, two examples are given to demonstrate the applicability of the proposed approach. © 2007 IEEE.
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Kazuo Tanaka, Takayuki Ikeda, Hua O. Wang · IEEE Transactions on Fuzzy Systems · 1996 · 1.1K citations