Intelligent Fuzzy Control with State-Derivative Feedback for Takagi-Sugeno Fuzzy Stochastic Singular Systems
نویسندگان
چکیده
This document deals with the problem of passive fuzzy controller design state-derivative feedback approach for nonlinear stochastic singular systems. Recently, systems have a greater focus on literature because they can keep more physical system characteristics than conventional At first, Takagi-Sugeno models are used to represent Then, and parallel distributed compensation method employed controllers. In process, Lyapunov stability conditions developed subject multiple performance constraints, including passivity constraint decay rate constraint. According these conditions, proposed control be effectively shifted into linear matrix inequality that solved by using convex optimal programming algorithm. last, two examples provided verify applicability effectivity approach.
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ژورنال
عنوان ژورنال: Journal of marine science and technology
سال: 2021
ISSN: ['2709-6998', '1023-2796']
DOI: https://doi.org/10.51400/2709-6998.1435