<p>A novel strategy is presented in this paper for addressing the stability analysis as well as <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(H_\infty \)</EquationSource> </InlineEquation> performance regarding T-S fuzzy systems with time delays and disturbances. First, we propose a distinctive line integral fuzzy Lyapunov function, addressing the limitations of traditional methods and the lack of flexibility in premise matching techniques. Second, a dynamic output feedback controller with fuzzy rules is devised with a view to handle time-varying delays and mismatched disturbances. This controller employs an equal quantity of fuzzy rules as those in the T-S model, yet uses distinct membership functions, enhancing the flexibility of the control framework. Third, through precise piecewise manipulation of integral terms, this study achieves the applicability of stability conditions for time-delay systems under broader delay evolution characteristics. Eventually, the results of theoretical analysis are applied to a simulation sample and the circuit system, achieving precise adjustment of the circuit parameters and stability control. This research not only advances fuzzy control theory but also provides a practical framework for dealing with complex systems.</p>

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Fuzzy Dynamic Output Feedback Design for \(H_\infty \) Control in T-S Fuzzy Systems using a Line-Integral Lyapunov Approach

  • Yu Zhao,
  • Juan Zhou

摘要

A novel strategy is presented in this paper for addressing the stability analysis as well as \(H_\infty \) performance regarding T-S fuzzy systems with time delays and disturbances. First, we propose a distinctive line integral fuzzy Lyapunov function, addressing the limitations of traditional methods and the lack of flexibility in premise matching techniques. Second, a dynamic output feedback controller with fuzzy rules is devised with a view to handle time-varying delays and mismatched disturbances. This controller employs an equal quantity of fuzzy rules as those in the T-S model, yet uses distinct membership functions, enhancing the flexibility of the control framework. Third, through precise piecewise manipulation of integral terms, this study achieves the applicability of stability conditions for time-delay systems under broader delay evolution characteristics. Eventually, the results of theoretical analysis are applied to a simulation sample and the circuit system, achieving precise adjustment of the circuit parameters and stability control. This research not only advances fuzzy control theory but also provides a practical framework for dealing with complex systems.