One Approach to Design the Fuzzy Fault Detection Filters for Takagi-Sugeno Models

DOI10.1007/978-3-319-23180-8_2zbMath1379.93066OpenAlexW2172407905MaRDI QIDQ3133930

Anna Filasová, Dušan Krokavec

Publication date: 8 February 2018

Published in: Advances in Intelligent Systems and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-23180-8_2

zbMATH Keywords

Lyapunov functionfault detectionfuzzy modelsmatrix formulationquadratic performance

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Fuzzy control/observation systems (93C42) Control/observation systems governed by ordinary differential equations (93C15)

Cites Work

• Model-based fault diagnosis techniques. Design schemes, algorithms and tools
• Design and analysis of robust fault detection filter using LMI tools
• Optimal fuzzy control for a class of nonlinear systems
• Fault detection, isolation and estimation for Takagi-Sugeno nonlinear systems
• Observers for systems with nonlinearities satisfying incremental quadratic constraints
• LMI based fuzzy observer design for Takagi-Sugeno models containing vestigial nonlinear terms
• Fuzzy identification of systems and its applications to modeling and control
• A geometric approach to nonlinear fault detection and isolation
• Using Degradation Measures to Estimate a Time-to-Failure Distribution

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