Title :
A design method for nonlinear H∞ control systems via Hamilton-Jacobi-Isaacs equations: a genetic programming approach
Author :
Imae, Joe ; Takahashi, Junya
Author_Institution :
Dept. of Eng., Iwate Univ., Morioka, Japan
fDate :
6/21/1905 12:00:00 AM
Abstract :
We deal with the design problem of feedback control synthesis via Hamilton-Jacobi-Isaacs (H-J-I) equations. Making use of the emergent property of genetic programming (GP), we propose an approach for obtaining the solution of H-J-I equations approximately. Some numerical examples are demonstrated to illustrate the practicability of the proposed method
Keywords :
H∞ control; differential equations; genetic algorithms; nonlinear control systems; performance index; Hamilton-Jacobi-Isaacs equations; design method; feedback control synthesis; genetic programming approach; nonlinear H∞ control systems; Control design; Control systems; Design methodology; Game theory; Genetic programming; Nonlinear control systems; Nonlinear equations; Optimal control; Performance analysis; State feedback;
Conference_Titel :
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5250-5
DOI :
10.1109/CDC.1999.827943
