Extended Dissipativity Analysis for Delayed Fuzzy Systems Using Polynomial Based Integral Inequality - Archive ouverte HAL
Communication Dans Un Congrès Année : 2023

Extended Dissipativity Analysis for Delayed Fuzzy Systems Using Polynomial Based Integral Inequality

Résumé

This study addresses the problem of extended dissipativity analysis for nonlinear time-delay systems represented by Takagi–Sugeno fuzzy model. Different from the existing schemes in the literature, this paper aims to solve the dissipativity problem by considering the H∞, L2 -L∞ and dissipative performance constraints in a unified framework. Additionally, to estimate the single integral terms in the derivative of the Lyapunov–Krasovskii functional, a polynomial-based integral inequality is used. The advantage of the proposed method is demonstrated numerically with the well-known benchmark of a truck-trailler model drawn from the literature.

Dates et versions

hal-04070720 , version 1 (16-04-2023)

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Rupak Datta, Rajeeb Dey, Ramasamy Saravanakumar, Kevin Guelton. Extended Dissipativity Analysis for Delayed Fuzzy Systems Using Polynomial Based Integral Inequality. World Congress of the International Federation of Automatic Control (IFAC), 2023, Yokohama, Japan. pp.2196-2201, ⟨10.1016/j.ifacol.2023.10.1127⟩. ⟨hal-04070720⟩
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