A Lyapunov Stability Test for Neutral Type Delay Systems: A Discretized Functional Approach

Necessary and sufficient stability conditions for neutral type linear time delay systems are presented. Our approach relies on discretizing functionals with prescribed derivative based on the delay Lyapunov matrix via the discretized Lyapunov functional method introduced in Gu (1997). As a result, the discretized functional is expressed as a quadratic form, whose inner block matrix involves the delay Lyapunov matrix valued at discrete points. Remarkably, this matrix is connected with those presented recently in Gomez et al. (2019). This fact, along with the estimation of the functional approximation error on a special set of functions, provides a stability criterion expressed through the positive definiteness of the above-mentioned matrix. The use of a simpler structure of the functional, which involves derivatives of the function argument instead of derivatives of the delay Lyapunov matrix, is a key factor to simplify developments. It is worth emphasizing that the discretization of the functional derivative is eliminated thanks to the use of functionals with prescribed derivative. Numerical examples show a considerable reduction of the approximation order required to test stability.

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Publication Details

Journal
IEEE Transactions on Automatic Control
Published
2025-06-19
DOI
https://doi.org/10.1109/tac.2025.3581132
Primary Topic
Quantum chaos and dynamical systems
Type
article
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article

A Lyapunov Stability Test for Neutral Type Delay Systems: A Discretized Functional Approach

Sabine Mondié, Gerson Portilla, Irina V. Medvedeva
IEEE Transactions on Automatic Control
Quantum chaos and dynamical systems
article

A Lyapunov Stability Test for Neutral Type Delay Systems: A Discretized Functional Approach

Sabine Mondié, Gerson Portilla, Irina V. Medvedeva
article en

Abstract

Necessary and sufficient stability conditions for neutral type linear time delay systems are presented. Our approach relies on discretizing functionals with prescribed derivative based on the delay Lyapunov matrix via the discretized Lyapunov functional method introduced in Gu (1997). As a result, the discretized functional is expressed as a quadratic form, whose inner block matrix involves the delay Lyapunov matrix valued at discrete points. Remarkably, this matrix is connected with those presented recently in Gomez et al. (2019). This fact, along with the estimation of the functional approximation error on a special set of functions, provides a stability criterion expressed through the positive definiteness of the above-mentioned matrix. The use of a simpler structure of the functional, which involves derivatives of the function argument instead of derivatives of the delay Lyapunov matrix, is a key factor to simplify developments. It is worth emphasizing that the discretization of the functional derivative is eliminated thanks to the use of functionals with prescribed derivative. Numerical examples show a considerable reduction of the approximation order required to test stability.

IEEE Transactions on Automatic ControlVol. 70(11)
St Petersburg University (RU), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (MX)
Openalex Percentile: Top 89%
Quantum chaos and dynamical systems
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