Improvement of sampled-data-based stabilization and dissipativity conditions for T–S fuzzy systems under network communication environment

Khanh Hieu Nguyen and Sung Hyun Kim

Chaos, Solitons & Fractals, 2024, vol. 178, issue C

Abstract: This paper aims to develop an improved sampled-data controller for T–S fuzzy systems in the presence of external disturbances and network-induced delays. To take more advantage of information about system state responses excited during sampling and data transmission, this paper introduces novel time integrals of the weighted derivative of the system state and they are utilized to construct an improved looped functional. Additionally, a refined discontinuous function is incorporated into the Lyapunov–Krasovskii functional, and three additional zero-equalities are incorporated into the stabilization conditions to enhance the relationship between the time integrals and other components of the augmented state. Moreover, this paper devises a less conservative relaxation technique that can numerically solve the dissipativity-based stabilization conditions dependent on affine-matched fuzzy-basis functions by exploiting their strict constraints. Finally, two examples are presented to illustrate the validity and applicability of the proposed approach.

Keywords: Networked control; Sampled-data control; T–S fuzzy system; Dissipative performance (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:178:y:2024:i:c:s0960077923012833

DOI: 10.1016/j.chaos.2023.114381

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