Fault Diagnosis and Sliding Mode Fault Tolerant Control for Non‐Gaussian Stochastic Distribution Control Systems Using T‐s Fuzzy Model

DOI10.1002/asjc.1390zbMath1365.93073OpenAlexW2529237939MaRDI QIDQ5270471

Yao Lina, Lei Chunhui

Publication date: 23 June 2017

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

Full work available at URL: https://doi.org/10.1002/asjc.1390

zbMATH Keywords

sliding mode controlfault diagnosisfault tolerant controlT-S fuzzy model

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Fuzzy control/observation systems (93C42) Variable structure systems (93B12) Stochastic systems in control theory (general) (93E03)

Related Items

Collaborative Fault Tolerant Control for Non‐Gaussian Stochastic Distribution Systems Based on Adaptive Control Strategy ⋮ Fuzzy predictive fault-tolerant control for time-delay nonlinear systems with partial actuator failures ⋮ Fault diagnosis and model predictive fault-tolerant control for stochastic distribution collaborative systems based on the T–S fuzzy model ⋮ Fault diagnosis and fault-tolerant control for T-S fuzzy time-varying delay stochastic distribution systems with actuator and sensor faults

Cites Work

• Optimal probability density function control for NARMAX stochastic systems
• Design of new fault diagnosis and fault tolerant control scheme for non-Gaussian singular stochastic distribution systems
• Dynamic T-S Fuzzy Systems Identification Based on Sparse Regularization
• Adaptive Nonlinear Actuator Fault Diagnosis for Uncertain Nonlinear Systems with Time-Varying Delays
• Observer Design for Stochastic Nonlinear Systems via Contraction-Based Incremental Stability
• Fuzzy identification of systems and its applications to modeling and control
• Observer-Based Optimal Fault Detection and Diagnosis Using Conditional Probability Distributions
• Fault detection and diagnosis for general stochastic systems using B-spline expansions and nonlinear filters