Lower Triangle Factor-Based Fault Estimation and Fault Tolerant Control for Fuzzy Systems

Huang, Sheng‐Juan; Zhang, Daqing; Guo, Liang‐Dong; Wu, Li‐Bing

doi:10.1109/tfuzz.2019.2941168

Cited by 23 publications

(35 citation statements)

References 33 publications

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“…In the network control system, with random packet loss and random access protocols, a switching output feedback controller and a dynamic feedback controller for the obedience process are designed so that the network control system has good stability performance in the event of actuator and sensor failures (Zhang et al , 2016; Pang et al , 2017; Zhou et al , 2017). In the case of linear systems with time delays and actuator faults, a method is proposed to achieve actuator fault detection of the system and obtain the fault estimation matrix by designing an adaptive detection and diagnosis observer (Gao et al , 2016; Huang et al , 2020). And when the uncertainty term exists in the system, the uncertainty is expressed in the established fuzzy observer state equation and output equation by adding a compensation term, and the stability of the system is derived and proved by combining the Lyapunov stability principle (Ren and Xiong, 2019).…”

Section: Introductionmentioning

confidence: 99%

Research on robust adaptive sliding film fault-tolerant control under nonlinear distortion of signal transmission in amorphous flat air-to-ground wireless ad-hoc network system

Wang

Lin

2022

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Purpose To solve the above problems and ensure the stability of the ad hoc network node topology in the process of wireless signal transmission, this paper aims to design a robust adaptive sliding film fault-tolerant controller under the nonlinear distortion of signal transmission in an amorphous flat air-to-ground wireless ad hoc network system. Design/methodology/approach This paper designs a robust adaptive sliding film fault-tolerant controller under the nonlinear distortion of signal transmission in an amorphous flat air-to-ground wireless ad hoc network system. Findings The simulation results show that the amorphous flat wireless self-organizing network system has good nonlinear distortion fault-tolerant correction ability under the feedback control of the designed controller, and the system has the asymptotically stable convergence ability; the test results show: the node topology of the self-organizing network structural stability is significantly improved, which provides a foundation for the subsequent realization of long-distance transmission of ad hoc network nodes. Research limitations/implications Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further. Originality/value The controller can extract the fault information caused by nonlinear distortion in the wireless signal transmission process, and at the same time, its feedback matrix K can gradually converge the generated wireless signal error to zero, to realize the stable transmission of the wireless signal.

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Section: Introductionmentioning

confidence: 99%

Research on robust adaptive sliding film fault-tolerant control under nonlinear distortion of signal transmission in amorphous flat air-to-ground wireless ad-hoc network system

Wang

Lin

2022

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“…Therefore, as a significant method of FTC, fault estimation has been widely studied [16,17]. There are plenty of methods and techniques that have been proposed for observer-based estimation, including the robust observer (RO) approach [18], adaptive observer (AO) approach [19,20], and others [21][22][23]. In the existing fault estimation approaches, AO improves the estimation accuracy by considering adaptive law compared with the RO.…”

Section: Introductionmentioning

confidence: 99%

“…In [19], the authors proposed an adaptive polytopic observer for linear parameter varying descriptor systems, where actuator faults were estimated by an adaptive algorithm. In [23], a more comprehensive form of estimation observer without sensor faults was proposed based on the lower triangular factor. However, faults on the measurement probably influence the closed-loop system performance, and thus it could not be neglected.…”

Section: Introductionmentioning

confidence: 99%

“…The adverse effects caused by multiple faults need to be fully considered in the design process. Although the existing works have solved the issues of fault estimation and FTC, which focus on either actuator faults [15,[23][24][25][26][27] or sensor faults [21,28]. So far, few related works have considered the case of the actuator faults and sensor faults appearing simultaneously.…”

Section: Introductionmentioning

confidence: 99%

“…(i) In contrast to the literature [15,21,[23][24][25][26][27][28], in which either actuator faults or sensor faults were considered, this paper considers the case of the actuator faults, and sensor faults appear simultaneously. A lower triangular factor-based estimation observer (LTFEO) is designed to estimate the state, actuator faults, and sensor faults.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Lower Triangular Factor-Based Fault Estimation and Fault-Tolerant Control for Descriptor Markovian Jump Systems with Multiple Faults

Shi

Bao

2022

Symmetry

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This paper considers the observer-based fault estimation and fault-tolerant control for descriptor Markovian jump systems (DMJSs). The goal of this paper is to estimate the actuator faults, sensor faults, and the state simultaneously, and then design a controller based on the estimation to stabilize the DMJS. Firstly, the state, actuator faults, and sensor faults are extended to new state variables to obtain an augmented system. Then, a lower triangular factor-based estimation observer (LTFEO) is proposed to estimate the state and multiple faults and to eliminate the influence of sensor faults. It is proved that the descriptor error system is derivative input-to-state stable (DISS) with respect to the derivative of the faults. Furthermore, based on the fault estimation, a fault-tolerant control scheme is proposed to guarantee the overall closed-loop system DISS. Finally, a numerical example is given to verify the effectiveness of the proposed estimation scheme and control strategy.

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Intermediate variable‐based adaptive fault estimation for a class of Lipschitz nonlinear systems

Han

Huang

2023

Adaptive Control & Signal

Self Cite

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In this paper, the problem of fault estimation based on intermediate variable-based adaptive observer for a class of nonlinear systems with Lipschitzian nonlinearities and faults is studied. An adaptive observer based on lower triangular matrix transformation is proposed, which comprise the output derivatives information so as to enhance the accuracy and speed of fault estimation effectually. The designed observer can be simplified to the lower triangular estimation observer, and is superior to the comprehensive estimation observer in the related literature. In addition, a more general error dynamics is derived based on the improved adaptive estimation observer, which makes it less conservative to obtain stability conditions. The uniformly ultimately bounded stability conditions of the estimated error dynamics are given by linear matrix inequalities (LMIs). Numerical examples are given to illustrate the effectiveness and merits of the proposed method.

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Lower Triangle Factor-Based Fault Estimation and Fault Tolerant Control for Fuzzy Systems

Cited by 23 publications

References 33 publications

Research on robust adaptive sliding film fault-tolerant control under nonlinear distortion of signal transmission in amorphous flat air-to-ground wireless ad-hoc network system

Research on robust adaptive sliding film fault-tolerant control under nonlinear distortion of signal transmission in amorphous flat air-to-ground wireless ad-hoc network system

Lower Triangular Factor-Based Fault Estimation and Fault-Tolerant Control for Descriptor Markovian Jump Systems with Multiple Faults

Intermediate variable‐based adaptive fault estimation for a class of Lipschitz nonlinear systems

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