DocumentCode
342939
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
Volume
1
fYear
1999
fDate
1999
Firstpage
383
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;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1999. Proceedings of the 1999
Conference_Location
San Diego, CA
ISSN
0743-1619
Print_ISBN
0-7803-4990-3
Type
conf
DOI
10.1109/ACC.1999.782806
Filename
782806
Link To Document