DEVELOPMENT OF ADAPTIVE INTELLIGENT BACKSTEPPING TRACKING CONTROL FOR UNCERTAIN CHAOTIC SYSTEMS
The cerebellar model articulation controller (CMAC) is a nonlinear adaptive system with built-in simple computation, good generalization capability and fast learning property.In this paper, an adaptive intelligent backstepping tracking control (AIBTC) system combined with adaptive CMAC and H∞ control technique is proposed for a class of chaotic systems.In the proposed control system, an adaptive backstepping cerebellar model articulation controller (ABCMAC) is used to mimic an ideal backstepping control (IBC), and a robust controller is designed to attenuate the effect of the residual approximation errors and external disturbances with desired attenuation leveL Moreover, the all adaptation laws of the AIBTC system are derived based on the Lyapunov stability analysis and H∞ control theory, so that the stability of the closed-loop system can be guaranteed.Finally, two application examples are used to demonstrate the effectiveness of proposed control technique.
Cerebellar model articulation controller Intelligent control Backstepping control Adaptive control
YA-FU PENG MING-HUNG LIN CHIH-HUI CHIU CHIH-MIN LIN
Department of Electrical Engineering, Ching-Yun University, Chung-Li, Tao-Yuan, 320, Taiwan R.O.C. Department of Electrical Engineering, Yuan-Ze University, Chung-Li, Tao-Yuan, 320 Taiwan R.O.C
国际会议
2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)
香港
英文
2037-2043
2007-08-19（万方平台首次上网日期，不代表论文的发表时间）