Title :
Fuzzy chaos generators for nonlinear dynamical systems
Author_Institution :
Fac. of Electr. & Comput. Eng., Fern Univ. Hagen, Germany
Abstract :
A fuzzy chaos generator is proposed for chaotifying nonlinear dynamical systems via Tanaka-Sugeno (TS) fuzzy modeling. A discrete-time or continuous-time nonlinear system can first be formulated as a TS fuzzy model, and then a fuzzy anti-controller can be designed to make the nonlinear system chaotic. The generation of chaos is mathematically rigorous in the sense of Li & Yorke. An example is included to visualize the effect of the chaos generation method.
Keywords :
chaos generators; continuous time systems; control system synthesis; discrete time systems; fuzzy systems; nonlinear dynamical systems; Tanaka-Sugeno fuzzy modeling; chaos generation method; continuous time nonlinear system; control system synthesis; discrete time nonlinear system; fuzzy anticontroller; fuzzy chaos generator; nonlinear dynamical systems; Chaos; Feedback; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Nonlinear dynamical systems; Nonlinear systems; Vectors; Visualization;
Conference_Titel :
Physics and Control, 2003. Proceedings. 2003 International Conference
Print_ISBN :
0-7803-7939-X
DOI :
10.1109/PHYCON.2003.1236861
