UIO design for singular delayed LPV systems with application to actuator fault detection and isolation

DOI10.1080/00207721.2015.1029567zbMath1333.93056OpenAlexW2040545804MaRDI QIDQ2795117

Masoud Shafiee, Amir Hossein Hassanabadi, Vicenç Puig

Publication date: 18 March 2016

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2015.1029567

zbMATH Keywords

unknown input observer (UIO)fault detection and isolation (FDI)singular delayed LPV system

Mathematics Subject Classification ID

Linear systems in control theory (93C05) Observability (93B07) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (9)

Parameter-dependent Lyapunov function based fault estimation and fault-tolerant control for LPV systems ⋮ Unknown input observer synthesis for discrete-time T-S fuzzy singular systems with application to actuator fault estimation ⋮ Exponentially practical stability of discrete time singular system with delay and disturbance ⋮ Unknown input observer for LPV systems ⋮ Sensor fault diagnosis of singular delayed LPV systems with inexact parameters: an uncertain system approach ⋮ Distributed fault estimation for delayed complex networks with round-robin protocol based on unknown input observer ⋮ Active fault tolerance control of a wind turbine system using an unknown input observer with an actuator fault ⋮ Adaptive diagnosis and compensation for hypersonic flight vehicle with multisensor faults ⋮ Multiobjective performance-based designs in fault estimation and isolation for discrete-time systems and its application to wind turbines

Uses Software

• SeDuMi

Cites Work

• A method for designing fault diagnosis filters for LPV polytopic systems
• Analysis and design of descriptor linear systems
• Detection filter design for LPV systems -- a geometric approach.
• A delay-dependent bounded real lemma for singular LPV systems with time-variant delay
• Identification of linear parameter varying models
• Robust fault detection and isolation for LPV systems under a sensitivity constraint
• Observer design and detection for nonlinear descriptor systems
• Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
• Fault Detection Filter Design for Markovian Jump Singular Systems With Intermittent Measurements
• Robust fault detection in descriptor linear systems via generalized unknown input observers
• Fault detection and isolation in linear parameter‐varying descriptor systems via proportional integral observer

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