Title :
GP based design method for control systems via Hamilton-Jacobi-Bellman equations
Author :
Imae, Joe ; Takahashi, Junya
Author_Institution :
Fac. of Eng., Iwate Univ., Morioka, Japan
Abstract :
We deal with the design problem of feedback control synthesis via the Hamilton-Jacobi-Bellman equation. Making use of the emergent property of genetic programming (GP), we propose a new approach for obtaining the value functions approximately. Some numerical examples are demonstrated to illustrate the practicability of our control design method
Keywords :
control system synthesis; feedback; function approximation; genetic algorithms; optimal control; performance index; Hamilton-Jacobi-Bellman equations; control synthesis; control system design; dynamic systems; feedback; function approximation; genetic programming; optimal control; performance index; Adaptive control; Control design; Control systems; Design engineering; Design methodology; Differential equations; Dynamic programming; Genetic programming; Nonlinear equations; Performance analysis;
Conference_Titel :
American Control Conference, 1999. Proceedings of the 1999
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4990-3
DOI :
10.1109/ACC.1999.782311
