Design of \(H_{\infty}\)-control for fuzzy time-delay systems

DOI10.1016/j.fss.2004.04.015zbMath1083.93014OpenAlexW1984831507MaRDI QIDQ1770778

Jun Yoneyama

Publication date: 7 April 2005

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2004.04.015

zbMATH Keywords

linear matrix inequalities\(H_{\infty}\)-controloutput feedbackpremise variablesTakagi-Sugeno fuzzy time delay systems

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Linear inequalities of matrices (15A39) Design techniques (robust design, computer-aided design, etc.) (93B51) Control/observation systems governed by functional-differential equations (93C23) (H^infty)-control (93B36)

Related Items (5)

Delay-dependent \(H_{\infty }\) fuzzy observer-based control for discrete-time nonlinear systems with state delay ⋮ Stability analysis and controller design of discrete-time polynomial fuzzy time-varying delay systems ⋮ Robust digital design of continuous-time nonlinear control systems using adaptive prediction and random-local-optimal NARMAX model ⋮ New delay-dependent stability analysis for fuzzy time-delay interconnected systems ⋮ Robust \(H_\infty\) control of uncertain fuzzy systems under time-varying sampling

Cites Work

• An approach to \(H_ \infty\) control of a class of nonlinear systems
• Linear optimal control of systems with state and control variable delays
• Stability analysis and design of fuzzy control systems
• Output stabilization of Takagi-Sugeno fuzzy systems
• H∞ control for Takagi–Sugeno fuzzy systems
• Linear-Quadratic Optimal Control of Hereditary Differential Systems: Infinite Dimensional Riccati Equations and Numerical Approximations
• Design of output feedback controllers for sampled-data fuzzy systems
• Fuzzy identification of systems and its applications to modeling and control
• The Infinite Time Quadratic Control Problem for Linear Systems with State and Control Delays: An Evolution Equation Approach
• H_∞control of nonlinear continuous-time systems based on dynamical fuzzy models
• Design of output feedback controllers for Takagi-Sugeno fuzzy systems
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