Transient performance improvement of Takagi-Sugeno fuzzy systems by modified non-parallel distributed compensation controller

DOI10.1002/asjc.2340MaRDI QIDQ6569845

Navid Vafamand

Publication date: 9 July 2024

Published in: Asian Journal of Control (Search for Journal in Brave)

zbMATH Keywords

global stabilitylinear matrix inequality (LMI)non-parallel distributed compensation (non-PDC)Takagi-Sugeno (TS) fuzzy modelsingle-link manipulatorchaotic permanent magnet synchronous machine (PMSM)

Mathematics Subject Classification ID

Systems theory; control (93-XX)

Cites Work

• LMI-based stability analysis and robust controller design for a class of nonlinear chaotic power systems
• A non-quadratic Lyapunov functional for \(H_\infty\) control of nonlinear systems via Takagi-Sugeno models
• Global non-quadratic \(\mathcal{D} \)-stabilization of Takagi-Sugeno systems with piecewise continuous membership functions
• Composite nonlinear feedback integral sliding mode tracker design for uncertain switched systems with input saturation
• A generalised integral polynomial Lyapunov function for nonlinear systems
• TS fuzzy robust \(\mathrm L_1\) control for nonlinear systems with persistent bounded disturbances
• Optimal adaptive reset control with guaranteed transient and steady state tracking error bounds
• A new fuzzy Lyapunov function approach for a Takagi--Sugeno fuzzy control system design
• Finite-time dissipative based fault-tolerant control of Takagi-Sugeno fuzzy systems in a network environment
• On Controlling the Transient Response of Linear Time Invariant Systems with Fixed Structure Controllers
• On Finite‐Time Stabilization of Active Disturbance Rejection Control for Uncertain Nonlinear Systems
• Robust Double‐integral T‐S Fuzzy Output Regulation for Nonlinear Systems
• More Relaxed Non‐Quadratic Stabilization Conditions Using Ts Open Loop System and Control Law Properties
• NON‐PDC Observer‐Based T‐S Fuzzy Tracking Controller Design and its Application in CHAOS Control
• Membership Function Dependent Observer‐Based Controller Design for A T‐S Fuzzy System

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