Observer‐based fault estimators using iterative learning scheme for nonlinear time‐delay systems with intermittent faults

DOI10.1002/rnc.3747zbMath1386.93083OpenAlexW2585870399MaRDI QIDQ4599878

Li Feng, Zhi-Min Yang, Yi Chai, Shuiqing Xu

Publication date: 5 January 2018

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.3747

zbMATH Keywords

linear matrix inequality nonlinear time-delay systems fault estimation intermittent fault iterative learning scheme

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Observability (93B07) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (5)

Improved fault detection and control allocation for hypersonic re‐entry vehicle subject to intermittent fault and disturbance ⋮ Adaptive neural network control for Markov jumping systems against deception attacks ⋮ Robust fault estimation based on learning observer for Takagi‐Sugeno fuzzy systems with interval time‐varying delay ⋮ An iterative learning scheme-based fault estimator design for nonlinear systems with randomly occurring parameter uncertainties ⋮ Multiple delay-dependent guaranteed cost control for uncertain switched random nonlinear systems against intermittent sensor and actuator faults

This page was built for publication: Observer‐based fault estimators using iterative learning scheme for nonlinear time‐delay systems with intermittent faults