DocumentCode :
488654
Title :
A Robust Control Design for FIR Plants with Parameter Set Uncertainty
Author :
Lau, Ming K. ; Boyd, Stephen ; Kosut, Robert L. ; Franklin, Gene F.
Author_Institution :
Information Systems Laboratory, Stanford University, Stanford, CA 94305.
fYear :
1991
fDate :
26-28 June 1991
Firstpage :
83
Lastpage :
88
Abstract :
This paper proposes a method of computing the finite-horizon control inputs for FIR plants whose parameters are only known to lie in a set. The parameter set is assumed to be described by an ellipsoidal bound, which could be provided by some identification scheme with a parameter set estimator. The finite-horizon control obtained minimizes the maximum LQR cost from all plants with parameters in the given set. The computation of this robust control is shown to be a convex optimization problem, thus global minimization is guaranteed and many efficient methods are available to compute the minimizing control. In addition, the method can also be used to compute the control for the dual problem in which the plant parameters are known but the initial states of the plant are assumed to lie in a set.
Keywords :
Control theory; Costs; Finite impulse response filter; Minimization methods; Optimization methods; Parameter estimation; Robust control; Robust stability; Uncertain systems; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1991
Conference_Location :
Boston, MA, USA
Print_ISBN :
0-87942-565-2
Type :
conf
Filename :
4791330
Link To Document :
بازگشت