Title :
A new approach of the adaptive control of nonlinear systems
Author :
Chen, Gui-Sheng ; Yu, Yuan-Long ; Liu, Hua-Ping ; He, Ke-Zhong
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
fDate :
29 June-1 July 2002
Abstract :
This paper presented H∞ control designs of a complex nonlinear system which can be modeled by a dynamic neural network. Two kinds of new H∞ control design methods are developed. One tries to attenuate both modeling error and the external disturbance to a prescribed level via the H∞ control term, the other tries to attenuate the external disturbance only via the H∞ control, whereas the modeling error is dealt with by a sliding mode control term.
Keywords :
adaptive control; control system analysis; neural nets; nonlinear control systems; optimal control; variable structure systems; complex nonlinear system control; dynamic neural networks; external disturbance attenuation; modeling error attenuation; nonlinear adaptive control systems; nonlinear plant; optimal control; sliding mode control; Adaptive control; Control design; Error correction; Helium; Neural networks; Neurons; Nonlinear dynamical systems; Nonlinear systems; Optimal control; Sliding mode control;
Conference_Titel :
Communications, Circuits and Systems and West Sino Expositions, IEEE 2002 International Conference on
Print_ISBN :
0-7803-7547-5
DOI :
10.1109/ICCCAS.2002.1178998
