A singular value decomposition based closed loop stability preserving controller reduction method

In this paper a controller reduction method which preserves closed loop stability is described. A Lyapunov inequality based sufficient condition is proposed in the search of the reduced controller. The reduced controller leads to a stable closed loop system with guaranteed approximation quality. Furthermore, the proposed problem can be formulated as a matrix approximation problem which can be solved efficiently using singular value decomposition. Numerical application examples are shown in the end to evaluate the generality of the proposed reduction method.

[1]  R. M. Murray,et al.  Model reduction of interconnected linear systems , 2009 .

[2]  Olof Garpinger,et al.  Design of Robust PID Controllers with Constrained Control Signal Activity , 2009 .

[3]  Tetsuya Iwasaki,et al.  All controllers for the general H∞ control problem: LMI existence conditions and state space formulas , 1994, Autom..

[4]  G. Stewart,et al.  A generalization of the Eckart-Young-Mirsky matrix approximation theorem , 1987 .

[5]  Keith Glover,et al.  Controller reduction: weights for stability and performance preservation , 1993, Proceedings of 32nd IEEE Conference on Decision and Control.

[6]  A. Rantzer,et al.  On the Minimum Rank of a Generalized Matrix Approximation Problem in the Maximum Singular Value Norm , 2010 .

[7]  B. Anderson,et al.  Controller Reduction: Concepts and Approaches , 1987, 1987 American Control Conference.

[8]  P. Gahinet,et al.  A linear matrix inequality approach to H∞ control , 1994 .

[9]  Stephen P. Boyd,et al.  Linear controller design: limits of performance via convex optimization , 1990 .

[10]  Paul Van Dooren,et al.  Model Reduction of Interconnected Systems , 2008 .

[11]  Anders Helmersson,et al.  Suboptimal Model Reduction using LMIs with Convex Constraints , 2006 .

[12]  D. Enns Model reduction with balanced realizations: An error bound and a frequency weighted generalization , 1984, The 23rd IEEE Conference on Decision and Control.

[13]  Kemin Zhou,et al.  Frequency-weighted model reduction with L ∞ error bounds , 1993 .