Title :
An improved associative memory learning control system for industrial processes with unknown dynamics
Author :
Xu, Ning-Shou ; Wu, Zhang-Lei ; Qu, Gui-Hong ; Chen, Li-Ping ; Wang, Guang-Shen ; Zhang, Hong
Author_Institution :
Dept. of Automatic Control, Beijing Polytech. Univ., China
Abstract :
This paper proposes an improved version of the associative memory learning control system (AMLCS) for industrial processes with almost completely unknown but slowly time-varying dynamics. Numerical simulations have shown the feasibility and effectiveness of the new AMLCS proposed
Keywords :
control system synthesis; learning systems; neural nets; process computer control; time-varying systems; associative memory learning control system; control system synthesis; industrial processes; neural nets; process computer control; simulations; time-varying dynamics; unknown dynamics; Associative memory; Automatic control; Brain modeling; Control systems; Electrical equipment industry; Industrial control; Neural networks; Predictive models; Process control; Size control;
Conference_Titel :
Industrial Electronics, 1992., Proceedings of the IEEE International Symposium on
Conference_Location :
Xian
Print_ISBN :
0-7803-0042-4
DOI :
10.1109/ISIE.1992.279588
