Adaptive Fuzzy Descriptor Sliding Mode Observer‐based Sensor Fault Estimation for Uncertain Nonlinear Systems

Shahnazi, Reza; Zhao, Qing

doi:10.1002/asjc.1249

Cited by 23 publications

(13 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is worth noting that the work in Shahnazi and Zhao (2016) focuses only on sensor faults where an adaptive descriptor sliding mode observer has been suggested for state and sensor fault estimation. For the same objective, an adaptive diagnosis has been investigated in Shen et al (2014).…”

Section: Introductionmentioning

confidence: 99%

Robust fault tolerant control based on adaptive observer for Takagi-Sugeno fuzzy systems with sensor and actuator faults: Application to single-link manipulator

Makni

Bouattour

Chaabane

2020

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

In this work, we investigate the problem of control for nonlinear systems represented by Takagi-Sugeno (T-S) fuzzy models affected by both sensor and actuator faults subject to an unknown bounded disturbances (UBD). For this, we design an adaptive observer to estimate state, sensor and actuator fault vectors simultaneously despite the presence of external disturbances. Based on this observer, we develop a fault tolerant control (FTC) law not only to stabilize closed loop system, but also to compensate the fault effects. For the observer-based controller design, we propose less conservative conditions formulated in terms of linear matrix inequalities (LMIs). Moreover, both observer and controller gains are calculated via solving a set of LMIs only in single step. Finally, comparative results and an application to single-link flexible joint robot are afforded to prove the efficiency of the proposed design.

show abstract

Section: Introductionmentioning

confidence: 99%

Robust fault tolerant control based on adaptive observer for Takagi-Sugeno fuzzy systems with sensor and actuator faults: Application to single-link manipulator

Makni

Bouattour

Chaabane

2020

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

show abstract

“…Several other research works are interested in exploiting sliding mode techniques for FDI of regular systems. In , a new method based on the adaptive fuzzy proportional‐derivative sliding mode observer is proposed to estimate the sensor faults and the states simultaneously for a class of uncertain nonlinear systems. Alwi et al , have proposed a new LPV‐based sliding mode observer scheme for fault reconstruction.…”

Section: Introductionmentioning

confidence: 99%

Fault diagnosis based on sliding mode observer for LPV descriptor systems

Hamdi

Rodrigues

Mechmeche

et al. 2019

Asian Journal of Control

View full text Add to dashboard Cite

This paper considers the problem of fault detection and reconstruction of actuator faults for linear parameter varying descriptor systems. A polytopic sliding mode observer (PSMO) is constructed to achieve simultaneous reconstruction of LPV polytopic descriptor system states and actuator faults. Sufficient conditions for the existence and design algorithm of the proposed polytopic sliding mode observer are provided. In addition, the design of the PSMO is formulated in terms of linear matrix inequalities that can be suitably solved using convex optimization techniques. This PSMO can force the output estimation error to converge to zero in a finite time when the actuators faults are bounded through the reinjection of the output estimation error via a nonlinear switching term. The effectiveness of the design technique is illustrated through a simulation of an anaerobic bioreactor.

show abstract

“…In the literature, finite‐time synchronization is usually considered by designing state feedback control , where the control gains are often much larger than actual needs. Compared with state feedback control, adaptive control requires smaller control gains , which can reduce control cost greatly. Recently, by adaptive control techniques, finite‐time synchronization of two types of chaotic systems without delays was studied in and in the framework of classical finite‐time stability theorem.…”

Section: Introductionmentioning

confidence: 99%

Finite‐Time Synchronization of Complex‐Valued Delayed Neural Networks with Discontinuous Activations

Yang

et al. 2018

Asian Journal of Control

View full text Add to dashboard Cite

In this paper, finite-time synchronization for a class of complex-valued neural networks with time delays and discontinuous activations is concerned under the framework of Filippov solutions. Both state feedback and adaptive controllers are designed to overcome the difficulties in dealing with the time delay and the uncertainties of Filippov solutions. Based on the concept of Filippov solutions, differential inclusion and structuring suitable Lyapunov-Krasovskii functionals, some sufficient conditions are obtained to guarantee that a controlled response system is synchronized with a driving system in a finite time. Finally, numerical simulations are given to show the effectiveness of the theoretical results.

show abstract

Adaptive Fuzzy Descriptor Sliding Mode Observer‐based Sensor Fault Estimation for Uncertain Nonlinear Systems

Cited by 23 publications

References 34 publications

Robust fault tolerant control based on adaptive observer for Takagi-Sugeno fuzzy systems with sensor and actuator faults: Application to single-link manipulator

Robust fault tolerant control based on adaptive observer for Takagi-Sugeno fuzzy systems with sensor and actuator faults: Application to single-link manipulator

Fault diagnosis based on sliding mode observer for LPV descriptor systems

Finite‐Time Synchronization of Complex‐Valued Delayed Neural Networks with Discontinuous Activations

Contact Info

Product

Resources

About