DocumentCode
305424
Title
A new probabilistic robust optimization method
Author
Yue, Hong ; Jiang, Weisun
Author_Institution
Res. Inst. of Autom, East China Univ. of Sci. & Technol., Shanghai, China
Volume
3
fYear
1996
fDate
14-17 Oct 1996
Firstpage
2205
Abstract
Within the framework of probabilistic description, the probabilistic robust optimization (PRO) method has been developed for parametric uncertain systems by replacing the conventional hard bounds with the soft bounds. The parameter space has been regarded as an entirety with probabilistic weighted performances as the optimization performance. Simulation results demonstrate the advantage of the new method over the conventional approaches as it takes all parametric perturbations into account
Keywords
optimal control; probability; robust control; uncertain systems; parametric perturbations; parametric uncertain systems; probabilistic robust optimization method; probabilistic weighted performances; Automation; Optimization methods; Probability distribution; Random variables; Robust control; Robustness; Space technology; Stability; Uncertain systems; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location
Beijing
ISSN
1062-922X
Print_ISBN
0-7803-3280-6
Type
conf
DOI
10.1109/ICSMC.1996.565493
Filename
565493
Link To Document