Robust fault reconstruction via learning observers in linear parameter‐varying systems subject to loss of actuator effectiveness
From MaRDI portal
Publication:5414847
DOI10.1049/IET-CTA.2013.0417zbMath1286.93211OpenAlexW2079911216MaRDI QIDQ5414847
Wen Chen, Xueqin Chen, Yingchun Zhang, Qingxian Jia
Publication date: 8 May 2014
Published in: IET Control Theory & Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1049/iet-cta.2013.0417
Related Items (10)
Robust fault reconstruction in discrete-time Lipschitz nonlinear systems via Euler-approximate proportional integral observers ⋮ Actuator and sensor fault estimation based on a proportional multiple‐integral sliding mode observer for linear parameter varying systems with inexact scheduling parameters ⋮ Limited‐information learning observer for simultaneous estimation of states and parameters ⋮ Robust fault estimation based on learning observer for Takagi‐Sugeno fuzzy systems with interval time‐varying delay ⋮ Adaptive observer-based \(H_\infty\) FTC for T-S fuzzy systems. Application to cart motion model ⋮ Fault reconstruction for Takagi–Sugeno fuzzy systems via learning observers ⋮ Active fault tolerant control design for LPV systems with simultaneous actuator and sensor faults ⋮ Sensor fault diagnosis and fault-tolerant control for non-Gaussian stochastic distribution systems ⋮ Fault Reconstruction for Continuous-Time Systems Via Learning Observers ⋮ Integrated design of fault reconstruction and fault-tolerant control against actuator faults using learning observers
This page was built for publication: Robust fault reconstruction via learning observers in linear parameter‐varying systems subject to loss of actuator effectiveness