Fractional-order nonlinear systems with fault tolerance

Martínez-Fuentes, Óscar; Meléndez‐Vázquez, Fidel; Martínez-Guerra, Rafael

doi:10.23919/acc.2018.8431495

Cited by 2 publications

(3 citation statements)

References 10 publications

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“…Other approaches to fractional order fault detection have also been considered and studied, a notable example are the learning based approaches such as neural network Disturbance observers [40], single layer and double layer radial basis function neural networks (RBFNN) [41], and recurrent wavelet fuzzy neural networks (RWFNN) [42]. Other approaches comprise state observers for actuator faults [43] and sensor faults [44,45,46,47], Fractional observers [48], high gain observers [49] and Generalized fractional order observers [50] for robust fault isolation, adaptive non linear observers [51], Non-fragile H ∞ filter for fault detection [52,53], fractional disturbance observers [54].…”

Section: Fractional Order Fault Detection and Diagnosismentioning

confidence: 99%

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Fractional Order Fault Tolerant Control - A Survey

Ladaci,

Benchaita

2023

IJRCS

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In this paper, a comprehensive review of recent advances and trends regarding Fractional Order Fault Tolerant Control (FOFTC) design is presented. This novel robust control approach has been emerging in the last decade and is still gathering great research efforts mainly because of its promising results and outcomes. The purpose of this study is to provide a useful overview for researchers interested in developing this interesting solution for plants that are subject to faults and disturbances with an obligation for a maintained performance level. Throughout the paper, the various works related to FOFTC in literature are categorized first by considering their research objective between fault detection with diagnosis and fault tolerance with accommodation, and second by considering the nature of the studied plants depending on whether they are modelized by integer order or fractional order models. One of the main drawbacks of these approaches lies in the increase in complexity associated with introducing the fractional operators, their approximation and especially during the stability analysis. A discussion on the main disadvantages and challenges that face this novel fractional order robust control research field is given in conjunction with motivations for its future development. This study provides a simulation example for the application of a FOFTC against actuator faults in a Boeing 747 civil transport aircraft is provided to illustrate the efficiency of such robust control strategies.

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Section: Fractional Order Fault Detection and Diagnosismentioning

confidence: 99%

“…Replacing (49) in the adaptive law and adding a σ-modification term to improve the robustness of the adaptive law we obtain…”

Section: Fractional Adaptive Controller Design For a Class Of Linear ...mentioning

confidence: 99%

Fractional Order Fault Tolerant Control - A Survey

Ladaci,

Benchaita

2023

IJRCS

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“…In addition, an FTC also yields a lot of results on an FNS. In [42], the fault-tolerant control methodology has been designed for FNSs. For the nonlinear interconnected FNS [43], Li et al proposed an adaptive neural network scheme to deal with an FNS with intermittent actuator faults.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Neural Fault-Tolerant Control for Nonlinear Fractional-Order Systems with Positive Odd Rational Powers

Wang

et al. 2022

Fractal Fract

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In this paper, the problem of adaptive neural fault-tolerant control (FTC) for the fractional-order nonlinear systems (FNSs) with positive odd rational powers (PORPs) is considered. By using the radial basis function neural networks (RBF NNs), the unknown nonlinear functions from the controlled system can be approximated. With the help of an adaptive control ideology, the unknown control rate of the actuator fault can be handled. In particular, the FNSs subject to high-order terms are studied for the first time. In addition, the designed controller can ensure the boundedness of all the signals of the closed-loop control system, and the tracking error can tend to a small neighborhood of zero in the end. Finally, the illustrative examples are shown to validate the effectiveness of the developed method.

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Fractional-order nonlinear systems with fault tolerance

Cited by 2 publications

References 10 publications

Fractional Order Fault Tolerant Control - A Survey

Fractional Order Fault Tolerant Control - A Survey

Adaptive Neural Fault-Tolerant Control for Nonlinear Fractional-Order Systems with Positive Odd Rational Powers

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