Advances in Asynchronous Fuzzy Observer-Based Output Feedback Control for Networked Nonlinear Systems Utilizing Quantized Measurements

21 Aug 2024 (modified: 23 Aug 2024)IEEE ICIST 2024 Conference SubmissionEveryoneRevisionsBibTeXCC BY 4.0
Abstract: This study focuses on asynchronous observer-based output feedback control for continuous-time networked nonlinear systems using Takagi-Sugeno (T-S) fuzzy affine models with quantized measurements. To address the asynchronous phenomena in the premise variables between the original plant and the observer/controller, an asynchronous piecewise fuzzy affine observer design method is introduced to estimate the immeasurable system state vectors. By leveraging advanced matrix inequalities, a novel existence criterion for the asynchronous observer-based piecewise output feedback controller is derived within a unified convex optimization framework, relaxing the constraint that the control input matrices must be common and uncertainty-free under each fuzzy rule. The proposed method's effectiveness is validated through simulation studies.
Submission Number: 208
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