Novel negative-definiteness conditions on the quadratic polynomial function with application to stability analysis of continuous time-varying delay systems

Jing He, Yan Liang, Feisheng Yang, Zhenwei Wei

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

When analyzing the stability of time-varying delay systems in view of the Lyapunov–Krasovskii functional, a quadratic polynomial function with regard to time-varying delay is always generated. And it is particularly crucial to determine the negativeness of the matrix of such a quadratic form function for obtaining an analysis result expressed in linear matrix inequalities. This paper proposes a method of tangent intersection in the delay interval segmentation, producing the generalized quadratic convex conditions by further utilizing the cross point between every two tangent lines. It reduces the conservatism of the existing conditions remarkably without requiring unexplainable adjustable parameters and additional decision variables. Benefiting from the newly proposed quadratic convex conditions, the novel stability conditions are derived, the superiority of which is demonstrated through several widely used numerical instances and single area power system PI control example.

Original languageEnglish
Pages (from-to)150-158
Number of pages9
JournalISA Transactions
Volume135
DOIs
StatePublished - Apr 2023

Keywords

  • Negative-definiteness conditions
  • Quadratic polynomial function
  • Stability analysis
  • Time-varying delay

Fingerprint

Dive into the research topics of 'Novel negative-definiteness conditions on the quadratic polynomial function with application to stability analysis of continuous time-varying delay systems'. Together they form a unique fingerprint.

Cite this