A Sufficient Condition on Polynomial Inequalities and its Application to Interval Time-Varying Delay Systems

Author:

Liu Meng123ORCID,He Yong123ORCID,Jiang Lin4ORCID

Affiliation:

1. School of Automation, China University of Geosciences, 388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China

2. Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, 388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China

3. Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, 388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China

4. Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool, Merseyside L69 3GJ, United Kingdom

Abstract

This article examines the stability problem of systems with interval time-varying delays. In the derivation of Lyapunov–Krasovskii functional (LKF), non-convex higher-degree polynomials may arise with respect to interval time-varying delays, making it difficult to determine the negative definiteness of LKF’s derivative. This study was conducted to obtain stability conditions that can be described as linear matrix inequalities (LMIs). By considering the idea of matrix transition and introducing the delay-dependent augmented vector, a novel higher-degree polynomial inequality is proposed under the condition that the lower bound of the polynomial function variable is non-zero, which encompasses the existing lemmas as its special cases. Then, benefiting from this inequality, a stability criterion is derived in terms of LMIs. Finally, several typical examples are presented to verify the availability and strength of the stability condition.

Funder

National Natural Science Foundation of China

Higher Education Discipline Innovation Project

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

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