Title :
A SVD based controller reduction method
Author :
Sou, Kin Cheong ; Rantzer, Anders
Author_Institution :
Dept. of Autom. Control, Lund Univ., Lund, Sweden
Abstract :
In this paper an efficient controller reduction method which guarantees closed loop stability is described. The reduced controller is obtained by solving a generalized controllability Grammian type Lyapunov inequality. This Lyapunov inequality based reduced controller search can be formulated as a generalized minimum rank matrix approximation problem to which an efficient singular value decomposition based solution procedure is available. This paper contains theoretical and numerical results on the merit of the proposed reduction method.
Keywords :
Lyapunov matrix equations; approximation theory; closed loop systems; controllability; linear matrix inequalities; reduced order systems; singular value decomposition; SVD based controller reduction method; closed loop stability; controller reduction method; generalized controllability Grammian type Lyapunov inequality; generalized minimum rank matrix approximation problem; singular value decomposition; Approximation methods; Closed loop systems; Frequency control; Linear matrix inequalities; Minimization; Stability analysis; Transfer functions; controller reduction; matrix approximation; rank minimization; singular value decomposition;
Conference_Titel :
SICE Annual Conference 2010, Proceedings of
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7642-8