Event-Triggered Parallel Distributed Compensator Design for Nonlinear System With Mixed Delays and Sampling Input by T-S Fuzzy Approach

• Published in: IEEE access Vol. 13; pp. 46941 - 46955
• Main Authors: Lien, Chang-Hua, Chang, Hao-Chin, Yu, Ker-Wei, Li, Hung-Chih, Yu, Cheng-Ruei, Vaidyanathan, Sundarapandian
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial neural networks; Compensators; Computational modeling; Delays; Event detection; H∞ and H₂ mixed performance; Nonlinear systems; Perturbation methods; Sampling; sampling input; scheme of event-triggered parallel distributed compensator; Switches; Synchronous machines; T-S fuzzy model; Turbines; Uncertainty; Vectors; Vehicle dynamics; Wind turbines
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2025.3548963

In this article, the robust <inline-formula> <tex-math notation="LaTeX">H_{\mathrm {\infty }} </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">H_{2} </tex-math></inline-formula> achievement is investigated by using the proposed scheme of event-triggered parallel distributed compensator (ETPDC) for T-S delay fuzzy model with sampling input. Some nonlinear practical systems can be approximated by T-S fuzzy models. In order to implement the parallel distributed compensator of a T-S fuzzy model, the network-based computation and hardware should be designed. The resource of communication of network can be saved by the proposed ETPDC scheme developed in this article. The proposed matrix presentation approach and some inequalities are used to show and improve our developed consequences. Finally, two nonlinear practical models for mass spring damper and thermal turbine synchronous generator are illustrated to exhibit the developed main consequences.