Title :
Robust stability and stabilization of discrete singular systems: an equivalent characterization
Author :
Xu, Shengyuan ; Lam, James
Author_Institution :
Dept. of Autom., Nanjing Univ. of Sci. & Technol., China
fDate :
4/1/2004 12:00:00 AM
Abstract :
This note deals with the problems of robust stability and stabilization for uncertain discrete-time singular systems. The parameter uncertainties are assumed to be time-invariant and norm-bounded appearing in both the state and input matrices. A new necessary and sufficient condition for a discrete-time singular system to be regular, causal and stable is proposed in terms of a strict linear matrix inequality (LMI). Based on this, the concepts of generalized quadratic stability and generalized quadratic stabilization for uncertain discrete-time singular systems are introduced. Necessary and sufficient conditions for generalized quadratic stability and generalized quadratic stabilization are obtained in terms of a strict LMI and a set of matrix inequalities, respectively. With these conditions, the problems of robust stability and robust stabilization are solved. An explicit expression of a desired state feedback controller is also given, which involves no matrix decomposition. Finally, an illustrative example is provided to demonstrate the applicability of the proposed approach.
Keywords :
discrete time systems; linear matrix inequalities; parameter estimation; stability; state feedback; linear matrix inequality; norm-bounded parameters; parameter uncertainty; quadratic stability; robust stability; stabilization; state feedback controller; time-invariant parameters; uncertain discrete-time singular systems; Automatic control; Communication system control; Control systems; Digital signal processing; Linear matrix inequalities; Magnetic levitation; Nonlinear control systems; Nonlinear systems; Robust stability; Vehicle dynamics;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2003.822854