Title :
Adaptive control of chaos in nonlinear chaotic discrete-time systems
Author :
Yazdanpanah, Am. ; Khaki-Sedigh, A. ; Yazdanpanah, Ar.
Author_Institution :
Electr. Eng. Dept., K.N. Toosi Univ. of Technol., Tehran, Iran
Abstract :
A model-based approach to adaptive control of chaos in non-linear chaotic discrete time systems is presented. In the case of unknown or time varying chaotic plants, the Lyapunov exponents may vary during the plant operation. In this paper, an effective adaptive strategy is proposed for on-line identification of Lyapunov exponents. The control aim is that the plant output changes in accordance with the output of the linear desired model. Simulation results are provided to show the effectiveness of the proposed methodology.
Keywords :
Lyapunov methods; adaptive control; chaos; discrete time systems; identification; nonlinear control systems; time-varying systems; Lyapunov exponent; adaptive control; chaos control; linear desired model; model-based approach; nonlinear chaotic discrete-time system; on-line identification; time varying chaotic plant; Adaptive control; Argon; Chaos; Control system analysis; Control systems; Discrete time systems; Jacobian matrices; Nonlinear control systems; Nonlinear dynamical systems; Programmable control;
Conference_Titel :
Physics and Control, 2005. Proceedings. 2005 International Conference
Print_ISBN :
0-7803-9235-3
DOI :
10.1109/PHYCON.2005.1514121
