Title :
A design method for optimal controllers of minimax problems: a genetic programming approach
Author :
Imae, Joe ; Nakatani, Satoru ; Takahashi, Junya
Author_Institution :
Osaka Prefecture Univ., Sakai, Japan
Abstract :
Based on the genetic programming approach, a new design method is proposed for optimal controllers of minimax problems, including H∞ control problems. The state feedback controllers and observer-based output feedback controllers are derived. First, the detailed description is given on the genetic programming, which plays a key role in constructing robust minimax controllers. Then, making use of the emergent property of the genetic programming, the new type of the design method is proposed. The demonstration of its effectiveness is done through some simple numerical examples of the H∞ control problems. Finally, the inverted pendulum problem is tackled by applying the GP based design method.
Keywords :
H∞ control; control system synthesis; genetic algorithms; minimax techniques; nonlinear control systems; observers; state feedback; GP based design method; H∞ control problem; H∞ optimization; buffer function; emergent property; genetic algorithm; genetic programming approach; inverted pendulum problem; minimax problem; observer-based output feedback controller; optimal controller design method; state feedback controller; Design methodology; Genetic algorithms; Genetic programming; Minimax techniques; Optimal control; Output feedback; Robust control; Shape; State feedback; Tree data structures;
Conference_Titel :
American Control Conference, 2003. Proceedings of the 2003
Print_ISBN :
0-7803-7896-2
DOI :
10.1109/ACC.2003.1242586