Stability conditions for discrete time fault tolerant control systems with state delays

Mahmoud, M.

doi:10.1109/acc.2008.4586629

Cited by 17 publications

(13 citation statements)

References 20 publications

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“…But if the signalṙ(t) can not be easily obtained from certain systems, we should resort to other alternative methods. In order to deal with this problem,ṙ f (t) is introduced to be a substitute forṙ(t) [24]. The relationship is defined as follows:…”

Section: Remarkmentioning

confidence: 99%

Fault Estimation and Accommodation for Switched Systems with Time-Varying Delay

Du¹,

Jiang²,

Shi³

2015

Studies in Systems, Decision and Control

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This paper considers the problem of fault estimation and accommodation for a class of switched systems with time-varying delay. An adaptive fault estimation algorithm is proposed to estimate the fault, moreover, constant or time-varying fault can be estimated. Meanwhile, a delay-dependent criteria is obtained with the purpose of reducing the conservatism of the fault estimation algorithm design. On the basis of fault estimation, an observerbased fault tolerant controller is designed to guarantee the stability of the closed-loop system. Additionally, simulation results are presented to illustrate the efficiency of the proposed results.

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Section: Remarkmentioning

confidence: 99%

Fault Estimation and Accommodation for Switched Systems with Time-Varying Delay

Du¹,

Jiang²,

Shi³

2015

Studies in Systems, Decision and Control

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“…In [6], the authors studied the stochastic stability and controller design for the nominal discrete time FTC system, and then, [7] extended the results to include norm bounded parameter uncertainties in the modeling of discrete time FTC system. Parameter uncertainties [8] and stochastic stability with state delays [9] were studied for a class of discrete time fault tolerant control system, respectively. By using a newly constructed Lyapunov functional and the average dwell time scheme, a FTC method for a class of discrete-time switched systems with time-varying delay and actuator saturation is investigated in [10].…”

Section: Introductionmentioning

confidence: 99%

Adaptive fault-tolerant control for a class of uncertain nonlinear MISO discrete-time systems in triangular forms with actuator failures

Liu

Wang

2014

2014 International Joint Conference on Neural Networks (IJCNN)

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This paper investigates the adaptive actuator failure compensation control for a class of uncertain multi input single out (MISO) discrete time systems with triangular forms. The systems contain the actuator faults of both loss of effectiveness and lock-in-place. With the help of radial basis function neural networks (RBFNN) to approximate the unknown nonlinear functions, an adaptive RBFNN fault-tolerant control (FTC) scheme is designed. Compared with some exist result in which solving linear matrix inequality (LMI) is required, we introduce the backstepping technique to achieve the FTC task. It is proved that the proposed control approach can guarantee that all the signals of the closed-loop system are bounded and that the output can successfully track a reference signal in the presence of the actuator failures. Finally, simulation results are provided to confirm the effectiveness of the control approach.2

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“…So it is important that faults can be promptly detected and appropriate remedies can be applied. Fault detection and isolation (FDI) and fault-tolerant control (FTC) problems have attracted persistent attention over the past decades [7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%