Title :
Random search based optimization algorithms in control analysis and design
Author :
Khargonekar, Pramod P. ; Yoon, Albert
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
This paper discusses the use of adaptive random search algorithms for global optimization in control systems analysis. The discussion is presented in the context of a real robust stability margin analysis problem. Numerical results are used to provide insight into the potential of these algorithms to impact control system analysis and design problems
Keywords :
control system analysis; control system synthesis; optimisation; random processes; robust control; search problems; stability criteria; adaptive random search algorithms; control system analysis; control system design; global optimization; random search based optimization algorithms; robust stability margin analysis problem; Adaptive control; Algorithm design and analysis; Communication system control; Control system analysis; Control systems; Design optimization; Programmable control; Robust stability; Robustness; System analysis and design;
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.1999.782806
