Title :
Reinforcement nonlinear control system
Author :
Hwang, Kao-Shing ; Chao, Hung-Jen
Author_Institution :
Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chia-Yi, Taiwan
Abstract :
In the paper a method called the reinforcement nonlinear control system (RNCS) is proposed for intelligent control of nonlinear systems. The RNCS integrates two artificial neural networks (ANNs) into a learning system. One of the ANNs plays a role of identification predictor and the other as a linearization controller. The RNCS is trained to linearize a plant by a desired linear dynamics imposed. The plant-network system is treated as a linear system and the wealth of linear control theories can be applied after linearizing the control affine plant
Keywords :
identification; intelligent control; learning systems; linearisation techniques; neurocontrollers; nonlinear control systems; SISO systems; identification; intelligent control; learning system; linear dynamics; linearization; neural networks; predictive control; reinforcement nonlinear control system; Chaos; Control systems; Control theory; Learning; Linear feedback control systems; Linear systems; Linearization techniques; Neural networks; Nonlinear control systems; Nonlinear systems;
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4778-1
DOI :
10.1109/ICSMC.1998.726676
