Publication | Closed Access
Quadratic stability analysis and design of continuous-time fuzzy control systems
125
Citations
13
References
1996
Year
Nonlinear ControlFuzzy LogicFuzzy SystemsEngineeringFuzzy ControlFuzzy Control SystemFuzzy ModelingFuzzy Expert SystemRobust Fuzzy ProgrammingMechanical SystemsFuzzy Control SystemsSystems EngineeringQuadratic Stability AnalysisFuzzy OptimizationPsq Lyapunov FunctionControl SystemsController Design AlgorithmStability
Abstract This paper presents a design method for fuzzy control systems. The method is based on a fuzzy state-space model A suitable piecewise smooth quadratic (PSQ) Lyapunov function is used to establish asymptotic stability of the closed-loop system. With the PSQ Lyapunov function a kind of global controller design method can be developed, and thus the disadvantage of using fixed P in the Lyapunov function can be overcome. Furthermore, a constructive algorithm is developed to obtain the stabilizing feedback control law. The controller design algorithm involves solving a set of certain algebraic Riccati equations. An example is given to illustrate the application of the method Additional informationNotes on contributorsS. G. CAO Tel: +(61) 2 385 5302; Fax: +(61) 2 385 5993; e-mail: cao@syscon.ee.unsw.edu.au.
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