Fault tolerant control for nonlinear systems using sliding mode and adaptive neural network estimator

DOI10.1007/S00500-019-04618-8zbMath1491.93057OpenAlexW2997574626WikidataQ126468893 ScholiaQ126468893MaRDI QIDQ2156469

Yiran Shi, J. B. Gomm, Haiying Qi, Shoutao Li, Ding-Li Yu, Yan-Tao Tian

Publication date: 18 July 2022

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-019-04618-8

zbMATH Keywords

sliding mode controldata analysisfault tolerant controladaptive neural estimatorintelligent method

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Decentralized systems (93A14) Variable structure systems (93B12)

Cites Work

• Numerical solution of systems of second-order boundary value problems using continuous genetic algorithm
• On observer-based fault detection for nonlinear systems
• Adaptive actuator fault tolerant control for uncertain nonlinear systems with multiple actuators
• Fault reconstruction for stochastic hybrid systems with adaptive discontinuous observer and non-homogeneous differentiator
• Application of reproducing kernel algorithm for solving second-order, two-point fuzzy boundary value problems
• Numerical solutions of integrodifferential equations of Fredholm operator type in the sense of the Atangana-Baleanu fractional operator
• Numerical solutions of fuzzy differential equations using reproducing kernel Hilbert space method
• Sliding mode control for a class of uncertain nonlinear system based on disturbance observer
• Learning approach to nonlinear fault diagnosis: detectability analysis
• Distributed Fault Diagnosis With Overlapping Decompositions: An Adaptive Approximation Approach
• A robust detection and isolation scheme for abrupt and incipient faults in nonlinear systems

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