Title :
Optimal state feedback control law for nonlinear systems and its best approximation by a neural network
Author :
Shimizu, K. ; Ishizuka, Y. ; Ohtani, M.
Author_Institution :
Dept. of Syst. Design Eng., Keio Univ., Yokohama, Japan
Abstract :
The paper is concerned with the state feedback control law for optimal control of nonlinear systems. We first compute a data table representing a relation between the optimal state and the optimal control input, and then make a functional approximation of the relation between the state and the control input using a multilayered neural network, in order to obtain a state feedback control law. This control law is implemented online in a closed loop control scheme
Keywords :
closed loop systems; control system synthesis; function approximation; multilayer perceptrons; neurocontrollers; nonlinear control systems; optimal control; state feedback; best approximation; closed loop control scheme; data table; functional approximation; multilayered neural network; optimal state feedback control law; Control systems; Design engineering; Neural networks; Nonlinear control systems; Nonlinear systems; Open loop systems; Optimal control; Regulators; Riccati equations; State feedback;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.812563
