Rank Minimization under LMI constraints: A Framework for Output Feedback Problems

Convex optimisation techniques for solving linear matrix inequalities have been recently applied to robust state-feedback synthesis for uncertain systems. The approach does not seem to extend easily to the output feedback problem. In this paper, we propose a single framework for addressing a number of output feedback stabilization problems for LTI systems. This includes static output feedback stabilization, dynamic reduced-order output-feedback stabilization, reduced-order H 1 synthesis and synthesis with constant scalings.

[1]  P. Peres,et al.  a linear programming oriented procedure for quadratic stabilization of uncertain systems , 1989 .

[2]  A. Packard,et al.  A collection of robust control problems leading to LMIs , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.

[3]  Stephen P. Boyd,et al.  Method of centers for minimizing generalized eigenvalues , 1993, Linear Algebra and its Applications.