Title :
Chaotifying continuous-time TS fuzzy systems via discretization
Author :
Li, Zhong ; Park, Jin Bae ; Joo, Young Hoon
Author_Institution :
Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
fDate :
10/1/2001 12:00:00 AM
Abstract :
An approach is proposed for making a given stable continuous-time Takagi-Sugeno (TS) fuzzy-system chaotic, by first discretizing it and then 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 continuous-time TS fuzzy system, where the generated chaos is in the sense of Li and Yorke (1975). A numerical example is included to visualize the theoretical analysis and the controller design
Keywords :
Lyapunov methods; chaos; continuous time systems; control system synthesis; fuzzy systems; state feedback; Takagi-Sugeno fuzzy systems; chaotic dynamics; chaotification; continuous-time TS fuzzy systems; discretization; feedback controller; folding; positive Lyapunov exponents; sinusoidal function; stable continuous-time systems; state feedback control; stretching; uniformly bounded state vectors; Adaptive control; Chaos; Control systems; Fuzzy control; Fuzzy systems; Physics; Power engineering and energy; State feedback; Takagi-Sugeno model; Visualization;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on