Interpolative Compensation Control Based on Fuzzy Neural Network for Uncertain Chaotic Systems
Yang Wen-guan · Jiangnan daxue xuebao. Ziran kexue ban · 2014
In this paper,the control problem of uncertain chaotic systems is investigated by means of the fuzzy interpolative compensation control based on the weights direct-determination of fuzzy neural network( WDDFNN). In the proposed method,the chaotic systems is identified by WDDFNN and then the fuzzy interpolative compensation control for the chaotic system is implemented by using the WDDFNN model. The closed-loop system stability theory is proved to be asymptotically stable under the proposed optimal control by using the Lyapunov. The simulation results show that the proposed control method has not only the fast response speed and high control accuracy,but also an effective ability to the parameter perturbation and external disturbance.