Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
697230 | Automatica | 2008 | 6 Pages |
Abstract
Nonlinear matrix inequalities (NLMIs) approach, which is known to be efficient for stability and L2L2-gain analysis, is extended to input-to-state stability (ISS). We first obtain sufficient conditions for ISS of systems with time-varying delays via Lyapunov–Krasovskii method. NLMIs are derived then for a class of systems with delayed state-feedback by using the SS-procedure. If NLMIs are feasible for all xx, then the results are global. When NLMIs are feasible in a compact set containing the origin, bounds on the initial state and on the disturbance are given, which lead to bounded solutions. The numerical examples of sampled-data quantized stabilization illustrate the efficiency of the method.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Emilia Fridman, Michel Dambrine, Nima Yeganefar,