Exponential Admissibility and Dynamic Output Feedback Control of Switched Singular Systems with Interval Time‐Varying Delay | Zendy

Jinxing Lin | Zendy; Chunxia Fan | Zendy

Open Access

Exponential Admissibility and Dynamic Output Feedback Control of Switched Singular Systems with Interval Time‐Varying Delay

Author(s) -

Jinxing Lin,

Chunxia Fan

Publication year - 2010

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2010/680382

Subject(s) - control theory (sociology) , dwell time , mathematics , impulse (physics) , interval (graph theory) , controller (irrigation) , exponential function , output feedback , exponential stability , linear matrix inequality , control (management) , computer science , mathematical optimization , nonlinear system , mathematical analysis , medicine , clinical psychology , physics , quantum mechanics , combinatorics , artificial intelligence , agronomy , biology

This paper is concerned with the problems of exponential admissibility and dynamic output feedback (DOF) control for a class of continuous-time switched singular systems with interval time-varying delay. A full-order, dynamic, synchronously switched DOF controller is considered. First, by using the average dwell time approach, a delay-range-dependent exponential admissibility criterion for the unforced switched singular time-delay system is established in terms of linear matrix inequalities (LMIs). Then, based on this criterion, a sufficient condition on the existence of a desired DOF controller, which guarantees that the closed-loop system is regular, impulse free and exponentially stable, is proposed by employing the LMI technique. Finally, some illustrative examples are given to show the effectiveness of the proposed approach

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research