Abstract

We investigate the problem of robust exponential stability for uncertain neutral systems with discrete and distributed time-varying delays and nonlinear perturbations. Based on the combination of descriptor model transformation, decomposition technique of coefficient matrix, and utilization of zero equation and new Lyapunov functional, sufficient conditions for robust exponential stability are obtained and formulated in terms of linear matrix inequalities (LMIs). The new stability conditions are less conservative and more general than some existing results.

Highlights

  • In the past decades, the problem of stability for neutral differential systems, which have delays in both its state and the derivatives of its states, has been widely investigated by many researchers

  • We introduce some notations and definitions that will be used throughout the paper

  • In order to improve the bound of the discrete delay h t in 2.6, let us decompose the constant matrix B as

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Summary

Introduction

The problem of stability for neutral differential systems, which have delays in both its state and the derivatives of its states, has been widely investigated by many researchers. The problem of delay-dependent stability for uncertain neutral systems with time-varying delays was considered 6. We will study the problems of robust exponential stability for uncertain neutral systems with discrete and distributed time-varying delays and nonlinear perturbations. Based on a combination of descriptor model transformation, decomposition technique of coefficient matrix, and utilization of zero equation and new Lyapunov functional which improved delay-dependent stability criteria for the considered systems, sufficient conditions for the robust exponential stability are obtained and formulated in terms of linear matrix inequalities LMIs. The new stability conditions will be less conservative and more general than some existing results

Problem Formulation and Preliminaries
Exponential Stability Conditions
Robust Exponential Stability Conditions
Numerical Examples
Methods
Findings
Conclusions
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