Title :
Nonlinear system identification and control with delayed cellular neural network
Author :
Gao, Yanling ; Zhang, Deying ; Chen, Shuli
Author_Institution :
Sifang Sch., Dept. of Electron. Eng., Shijiazhuang Tiedao Univ., Shijiazhuang, China
Abstract :
Online identification of nonlinear systems is still an important while difficult task in practice. A general and simple online identification method, by delayed cellular neural networks, is proposed for multi-input-multi-output (MIMO) nonlinear systems. The online identification framework is first formulated by delayed cellular neural networks, and the weights of the neural network are updated by the identification error by adaptive method. Based on Lyapunov stability theory, the resulting closed-loop system is uniform ultimate bounded stable. Then, indirect adaptive controller is designed based on the delayed cellular neural networks.
Keywords :
Lyapunov methods; MIMO systems; adaptive control; cellular neural nets; closed loop systems; delays; identification; nonlinear systems; Lyapunov stability theory; adaptive method; closed loop system; delayed cellular neural network; identification error; indirect adaptive controller; multiinput multioutput; nonlinear system identification; online identification; Artificial neural networks; Asymptotic stability; Cellular neural networks; Delay; Nonlinear systems; Stability analysis; Support vector machines; Introduction; identification; neural network; nonlinear system;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583338
