International Journal of Bifurcation and Chaos · 2002 · 31 citations · 21 references
Natural SciencesMathematicsDifferential EquationsDynamical SystemsSystem DynamicsChaos TheoryControl Of Dynamical SystemsControl SystemsControl TheoryNonlinear ControlStability TheoryChaos ControlChaos In Dynamical SystemsChaotic AttractorsChaotic DynamicsFuzzy ControlFuzzy Control SystemsFuzzy SetsState Feedback Control
An approach is proposed for making chaotic a given stable Takagi–Sugeno (TS) fuzzy system using state feedback control of arbitrarily small magnitude. The feedback controller chosen among several candidates is a simple sinusoidal function of the system states, which can lead to uniformly bounded state vectors of the controlled system with positive Lyapunov exponents, and satisfy the chaotic mechanisms of stretching and folding, thereby yielding chaotic dynamics. This approach is mathematically proven for rigorous generation of chaos from a stable TS fuzzy system, where the chaos is in the sense of Li and Yorke. A numerical example is included to visualize the theoretical analysis and the controller design.
21