This paper addresses the problems of observer-based fault reconstruction and fault-tolerant control for Takagi-Sugeno fuzzy descriptor systems subject to time delays external disturbances. A novel learning observer is constructed achieve simultaneous system states actuator faults. Sufficient conditions existence proposed are explicitly provided. Utilizing reconstructed information, a reconfigurable controller based on separation property designed compensate impact faults performance by...

In this study, the problem of robust fault reconstruction in polytopic linear parameter-varying systems, subject to loss actuator effectiveness and external disturbances, is investigated using a learning observer (LO). A LO proposed achieve system state estimation at same time. The sensitive incipient faults because no chattering induced. Both constant time-varying can be accurately reconstructed detected. Moreover, simultaneous detection performed single signal employed as alarm. stability...

This paper addresses the problem of observer-based fault reconstruction for Takagi–Sugeno fuzzy systems. Two types learning observers are constructed to achieve simultaneous system states and actuator faults. Stability convergence proposed proved using Lyapunov stability theory, necessary conditions existence further discussed. The design can be formulated in terms a series linear matrix inequalities that conveniently solved convex optimisation technique. A single-link flexible manipulator...

This paper addresses the problem of observer-based fault reconstruction and accommodation for polytopic linear parameter-varying (LPV) systems. A representation an LPV system subject to actuator faults external disturbances is first established; then, a novel learning unknown-input observer (LUIO) constructed simultaneous state estimation robust reconstruction. The stability presented LUIO proved using Lyapunov theory together with H∞ techniques. Further, reconstructed information,...

This paper is to suggest a new strategy for fault estimation in Takagi-Sugeno (T-S) fuzzy systems. A Learning Observer (FLO) constructed achieve simultaneous of system states and actuator faults. The FLO able estimate both constant time-varying faults accurately, systematic method also proposed select gain matrices the FLOs. Stability convergence observer proved using Lyapunov stability theory. design FLOs can be formulated terms Linear Matrix Inequalities (LMIs) that conveniently solved LMI...

A novel robust fault reconstruction approach is proposed for satellite attitude control systems (ACS) by proposing a learning unknown input observer (LUIO). Stability of LUIO and ultimately boundedness dynamic deviation are proved using Lyapunov stability analysis. design problem can be solved effectively MATLAB LMI toolbox. Finally, mathematical simulation on closed-loop ACS demonstrates the effectiveness approach.

The problem of observer-based robust fault reconstruction for a class nonlinear sampled-data systems is investigated. A discrete-time Lipschitz system first established, and its Euler-approximate model described; then, an proportional integral observer (EPIO) constructed such that simultaneous states actuator faults are guaranteed. presented EPIO possesses the disturbance-decoupling ability because architecture similar to unknown input observer. stability convergence fault-reconstructing...

Robust nonlinear unknown input observer(RNUIO)-based fault diagnosis for satellite attitude control system(ACS) is investigated in this paper. First, the of model with space disturbance torque and uncertainties given, then RNUIO designed to achieve actuator diagnosis, LMI-based sufficient conditions existence derived design purpose using Lyapunov stability analysis. Systematic observer problem solved effectively terms MATLAB/LMI toolbox. Finally, application on closed-loop ACS demonstrates...

This paper addresses a problem of observer-based sensor fault reconstruction for continuous-time systems subject to faults and measurement disturbances via descriptor system approach. An augmented plant is first formulated, by assembling into an auxiliary state vector. Then novel observer the constructed such that simultaneous original states, are obtained readily. Sufficient conditions existence proposed explicitly provided, application scope further discussed. In addition, extension linear...

This paper addresses the problem of observer-based robust fault detection in a class Lipschitz non-linear systems. A Euler-approximate model for continuous-time systems is first established; then, discrete time observer designed such that dynamic output-estimation error, which assigned as residual signal, asymptotically converges to zero if no actuator faults and external disturbances exist system. The new has similarity unknown input (UIO). Compared with existing UIOs, design presented...

This paper presents an active fault-tolerant control( FTC) architecture for satellite attitude control system(ACS) by combining iterative learning ideology and unknown input observer(UIO). As integral part of FTC system(FTCS), a UIO(LUIO) is proposed to achieve angular velocities estimation robust reconstruction adaptive compensation law simultaneously based on the disturbance decoupling principle UIO H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...