Multiplicative fault estimation-based adaptive sliding mode fault-tolerant control design for nonlinear systems
DOI10.1155/2018/1462594zbMath1398.93055OpenAlexW2811500037MaRDI QIDQ1784917
Ali Ben Brahim, Slim Dhahri, Anis Sellami, Fayçal Ben Hmida
Publication date: 27 September 2018
Published in: Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2018/1462594
robust stabilitynonlinear systemsliding mode fault-tolerant control (FTC)Takagi-Sugeno (T-S) fuzzy representation
Sensitivity (robustness) (93B35) Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Variable structure systems (93B12) Robust stability (93D09)
Related Items (4)
Cites Work
- A new strategy for integration of fault estimation within fault-tolerant control
- Fault detection and fault-tolerant control using sliding modes.
- Active fault-tolerant control for wind turbine with simultaneous actuator and sensor faults
- An \(H_{\infty}\) sliding mode observer for Takagi-Sugeno nonlinear systems with simultaneous actuator and sensor faults
- Fault diagnosis of a class of nonlinear uncertain systems with Lipschitz nonlinearities using adaptive estimation
- Fault diagnosis and fault-tolerant control of uncertain robot manipulators using high-order sliding mode
- Fault detection, isolation and estimation for Takagi-Sugeno nonlinear systems
- Actuator fault diagnosis for uncertain T-S fuzzy systems with local nonlinear models
- Robust adaptive fault estimation for a class of nonlinear systems subject to multiplicative faults
- Multi-objectiveH − ∕ H ∞ fault detection observer design for Takagi-Sugeno fuzzy systems with unmeasurable premise variables: descriptor approach
- Fault-Diagnosis Applications
- Simultaneous Actuator and Sensor Faults Reconstruction Based on Robust Sliding Mode Observer for a Class of Nonlinear Systems
- Integrated fault estimation and fault-tolerant control for uncertain Lipschitz nonlinear systems
- ℋ︁∞ sliding mode observers for uncertain nonlinear Lipschitz systems with fault estimation synthesis
- Fuzzy identification of systems and its applications to modeling and control
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