Title :
New neural adaptive control of nonlinear discrete-time systems
Author :
Yong, Zhu ; Jixing, Qian
Author_Institution :
Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou, China
Abstract :
For a class of discrete-time nonlinear systems, an available adaptive control scheme using multilayered neural networks is presented. It can not only solve the tracking problem but also simplify the neural network model. It is also shown that the closed-loop system is uniformly ultimately bounded and parameters of the neural networks are convergent
Keywords :
adaptive control; closed loop systems; convergence; discrete time systems; multilayer perceptrons; neurocontrollers; nonlinear control systems; closed-loop system; multilayered neural networks; neural adaptive control; nonlinear discrete-time systems; parameter convergence; tracking; uniformly ultimately bounded system; Adaptive control; Adaptive systems; Control systems; Electrical equipment industry; Industrial control; Multi-layer neural network; Neural networks; Nonlinear systems; Process control; Programmable control;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.694723
