A new separated fault estimator and fault-tolerant control design strategy for uncertain nonlinear systems using T-S fuzzy modeling

DOI10.22111/ijfs.2021.5919zbMath1458.93150OpenAlexW3129223656MaRDI QIDQ5858333

M. Cheraghiyan

Publication date: 12 April 2021

Full work available at URL: https://ijfs.usb.ac.ir/article_5919_ab4d19ed1c2e49e379344a512ac918ea.pdf

zbMATH Keywords

T-S fuzzy modelingfuzzy adaptive fault estimationseparated FE/FTC

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Fuzzy control/observation systems (93C42) Design techniques (robust design, computer-aided design, etc.) (93B51) Estimation and detection in stochastic control theory (93E10)

Uses Software

• Matlab
• YALMIP
• LMI toolbox
• Robotics
• Control System Toolbox

Cites Work

• A new strategy for integration of fault estimation within fault-tolerant control
• Robust fault-tolerant self-recovering control of nonlinear uncertain systems.
• Optimal fault-tolerant control against descriptor time-varying systems with nonlinear input
• Adaptive fuzzy observer-based fault-tolerant control for Takagi-Sugeno descriptor nonlinear systems with time delay
• Robust \(\mathcal H_\infty\) adaptive descriptor observer design for fault estimation of uncertain nonlinear systems
• Fault estimation and active fault tolerant control for linear parameter varying descriptor systems
• Robust fast adaptive fault estimation and tolerant control for T-S fuzzy systems with interval time-varying delay
• Diagnosis and Fault-Tolerant Control

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