In this paper we propose an efficient computation approach to minimize the H-infinity-norm of a transfer-function matrix depending affinely on a set of free parameters. The minimization problem, formulated as a semi-infinite convex programming problem, is solved via a relaxation approach over a finite set of frequency values. In this way, a significant speed up is achieved by avoiding the solution of high order LMIs resulting by equivalently formulating the minimization problem as a high dimensional semidefinite programming problem. Numerical results illustrate the superiority of proposed approach over LMIs based techniques in solving zero order H-infinity-norm approximation problems.
Fast Algorithms for Solving H-infinity-Norm Minimization Problems
2001 ; Orlando, Florida (USA)
Proc. of CDC 2001 ; 1-6
2001-11-01
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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