Adaptive Fuzzy Observer Design for a Class of Switched Nonlinear Systems With Actuator and Sensor Faults

Fu, Shuai; Qiu, Jianbin; Chen, Liheng; Mou, Shaoshuai

doi:10.1109/tfuzz.2018.2848253

Cited by 62 publications

(34 citation statements)

References 46 publications

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“…In addition, a relaxed LMI is obtained by using slack variable matrices and regulating certain parameters. As a perspective of this work, we believe that an extension to nonlinear systems can be done using the adaptive fuzzy observer method as reported recently in Fu et al and Chen et al…”

Section: Resultsmentioning

confidence: 86%

Robust fault‐tolerant control for discrete‐time switched systems with time delays

Telbissi

Benzaouia

2020

Adaptive Control & Signal

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Summary This study outlines the problem of active fault‐tolerant control for delayed discrete‐time switched systems. Using switched proportional‐integral observer and multiple Lyapunov‐Krasovski function, less conservative sufficient conditions are established to design a robust fault estimation (FE) algorithm via linear matrix inequality form. Afterward, a fault‐tolerant performance is realized based on this fast and exact FE information to compensate the effect of actuator fault while stabilizing the closed‐loop system. The efficiency of the proposed strategy is proved through simulation examples and comparison results.

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Section: Resultsmentioning

confidence: 86%

Robust fault‐tolerant control for discrete‐time switched systems with time delays

Telbissi

Benzaouia

2020

Adaptive Control & Signal

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“…Unfortunately, it is devoted to deterministic systems neglecting uncertainty factors. Another strategy is developed in Fu et al [ 23 ] and tackles the systems with switching non-linearities. Unfortunately, it also does not provide appropriate means for settling the robustness issue.…”

Section: Introductionmentioning

confidence: 99%

Towards Simultaneous Actuator and Sensor Faults Estimation for a Class of Takagi-Sugeno Fuzzy Systems: A Twin-Rotor System Application

Pazera

Witczak

Kukurowski

et al. 2020

Sensors

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The paper is devoted to the problem of estimating simultaneously states, as well as actuator and sensor faults for Takagi–Sugeno systems. The proposed scheme is intended to cope with multiple sensor and actuator faults. To achieve such a goal, the original Takagi–Sugeno system is transformed into a descriptor one containing all state and fault variables within an extended state vector. Moreover, to facilitate the overall design procedure an auxiliary fault vector is introduced. In comparison to the approaches proposed in the literature, a usual restrictive assumption concerning fixed fault rate of change is removed. Finally, the robust convergence of the whole observer is guaranteed by the so-called quadratic boundedness approach which assumes that process and measurement uncertainties are unknown but bounded within an ellipsoid. The last part of the paper portrays an exemplary application concerning a nonlinear twin-rotor system.

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“…More extensions on adaptive fuzzy output feedback control for nonlinear systems subject to various constraints can refer to References 21‐25 for details. References 26‐29 investigates the observer‐based adaptive fuzzy fault‐tolerant control problems for nonlinear systems. In Reference 30, the problem of containment control of semi‐Markovian multiagent systems with switching topologies is studied.…”

Section: Introductionmentioning

confidence: 99%

Filtering adaptive output feedback control for multivariable nonlinear systems with mismatched uncertainties and unmodeled dynamics

2020

Intl J Robust & Nonlinear

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This article synthesizes a filtering adaptive output feedback controller for multivariable nonlinear systems with mismatched uncertainties and unmodeled dynamics. The multivariable nonlinear systems under consideration have both matched and mismatched uncertainties, which satisfy the semiglobal Lipschitz condition. The unmodeled dynamics are bounded-input bounded-output stable. By adopting an estimation/cancellation strategy, a piecewise constant adaptive law drives the estimation error to zero at every time instant, which yields the adaptive parameters; a disturbance rejection control law is designed to compensate the nonlinear uncertainties within the bandwidth of low-pass filters. The matched uncertainties are cancelled directly by adopting their opposite in the control signal, while a dynamic inversion of the system is required to eliminate the effect of the mismatched uncertainties on the output. A feedforward control law is designed to track a given command. Since the virtual reference system defines the best performance that can be achieved by the closed-loop system, the uniform performance bounds are derived for the states and control signals via comparison. Both numerical and practical examples are provided to illustrate the effectiveness of the proposed filtering adaptive output feedback control architecture, comparisons with the model reference adaptive control demonstrates the superiority of the proposed control method. K E Y W O R D S filtering adaptive control, mismatched uncertainties, nonlinear, output feedback, unmodeled dynamics How to cite this article: Ma T. Filtering adaptive output feedback control for multivariable nonlinear systems with mismatched uncertainties and unmodeled dynamics.

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Adaptive Fuzzy Observer Design for a Class of Switched Nonlinear Systems With Actuator and Sensor Faults

Cited by 62 publications

References 46 publications

Robust fault‐tolerant control for discrete‐time switched systems with time delays

Robust fault‐tolerant control for discrete‐time switched systems with time delays

Towards Simultaneous Actuator and Sensor Faults Estimation for a Class of Takagi-Sugeno Fuzzy Systems: A Twin-Rotor System Application

Filtering adaptive output feedback control for multivariable nonlinear systems with mismatched uncertainties and unmodeled dynamics

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