DocumentCode :
300813
Title :
Optimal scaled ℋ full information synthesis with real parametric uncertainty
Author :
Lind, Rick ; Balas, Gary J. ; Packard, Andy
Author_Institution :
Minnesota Univ., Minneapolis, MN, USA
Volume :
5
fYear :
1995
fDate :
21-23 Jun 1995
Firstpage :
3463
Abstract :
This paper presents an algorithm to synthesize optimal controllers for the scaled ℋ full information problem which directly accounts for real parametric uncertainty. The algorithm reduces to a finite dimensional convex optimization problem in the form of a linear matrix inequality. This algorithm is used to synthesize controllers for a missile autopilot
Keywords :
H control; control system synthesis; matrix algebra; missile guidance; optimisation; state-space methods; uncertain systems; finite dimensional convex optimization; linear matrix inequality; missile autopilot; optimal control synthesis; real parametric uncertainty; scaled H full information problem; Control design; Control system synthesis; Control systems; Linear matrix inequalities; Missiles; Optimal control; Output feedback; Robust control; Robustness; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
Type :
conf
DOI :
10.1109/ACC.1995.533779
Filename :
533779
Link To Document :
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