Adaptive sliding mode fault-tolerant control for type-2 fuzzy systems with distributed delays

Zhao, Yue; Wang, Jiahui; Yan, Fei; Shen, Yi

doi:10.1016/j.ins.2018.09.002

Cited by 158 publications

(89 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Owing to the significance both in practical applications and theoretical research, switched systems have been widely investigated in many fields, such as robotics, power electronics, chemical processes, aircraft and air traffic control, etc, and lots of exciting results have been obtained on the stability and stabilization problems for switched systems in the past decade . Especially, sliding mode control (SMC) method, as an effective robust control technique, has been also successfully applied in uncertain switched systems, stochastic systems, and other systems . For example, the SMC problem was considered in the work of Wu and Lam for uncertain switched systems with the same control input matrices for all subsystems.…”

Section: Introductionmentioning

confidence: 99%

“…2-4 Especially, sliding mode control (SMC) method, as an effective robust control technique, has been also successfully applied in uncertain switched systems, 5-12 stochastic systems, [13][14][15][16] and other systems. [17][18][19] For example, the SMC problem was considered in the work of Wu and Lam 5 for uncertain switched systems with the same control input matrices for all subsystems. The above constraint assumption was removed in the work of Liu et al 20 via a weighted sum technique on the control input matrices.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Sliding mode control of discrete‐time switched systems subject to mode delays

Zhao

Niu

2019

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

Summary This work considers the sliding mode control problem of a class of discrete‐time uncertain switched systems subject to detecting‐delay on mode signals, which may result in the asynchronous phenomenon between the controller and the switched system. Since the mode information of the controlled system is not available for the controller in time, a mode‐independent sliding surface will be introduced, by which an asynchronous sliding mode controller is designed, whose control gain and robust parameter will be changing according to the controller mode. In the analysis on the stability of the closed‐loop control system and the reachability of the specified sliding surface, the asynchronous characteristics are detailedly investigated. It is shown that the Lyapunov function may be not always decreasing along the state trajectories during the unmatched interval of controller modes and system modes. Nevertheless, it is proven that the state trajectories can be driven into a sliding region around the specified sliding surface in finite time. Finally, some numerical simulation results are provided.

show abstract

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Sliding mode control of discrete‐time switched systems subject to mode delays

Zhao

Niu

2019

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

show abstract

“…Different topological structures of WSNs also attract the attention of researchers. Considering an uncertain nonlinear system with distributed time-delay and uncertainties, a sliding-mode controller and some estimation laws were proposed in terms of the actuator faults and distributed delays based on the IT2 fuzzy model in the recent work of Zhao et al 16 However, these works did not consider the communication efficiency problems. A two-level hierarchical fusion time-varying robust Kalman filter was developed in the recent work of Zhang et al 10 for clustering sensor network system with uncertain noise variances.…”

Section: Introductionmentioning

confidence: 99%

“…Liu et al 15 described the plant and sensor networks as interval type-2 (IT2) fuzzy model and constructed a distributed IT2 fuzzy filter model to estimate system states. Considering an uncertain nonlinear system with distributed time-delay and uncertainties, a sliding-mode controller and some estimation laws were proposed in terms of the actuator faults and distributed delays based on the IT2 fuzzy model in the recent work of Zhao et al 16 However, these works did not consider the communication efficiency problems.…”

Section: Introductionmentioning

confidence: 99%

Distributed two‐stage state estimation with event‐triggered strategy for multirate sensor networks

Wang

et al. 2019

Adaptive Control & Signal

View full text Add to dashboard Cite

This paper investigates the state estimation issue for a class of wireless sensor networks (WSNs) with the consideration of limited energy resources. First, a multirate estimation model is established, and then, a new event-triggered two-stage information fusion algorithm is developed based on the optimal fusion criterion weighted by matrices. Compared with the existing methods, the presented fusion algorithm can significantly reduce the communication cost in WSNs and save energy resources of sensors efficiently. Furthermore, by presetting a desired containment probability over the interval [0, 1] with the developed event-triggered mechanism, one can obtain a suitable compromise between the communication cost and the estimation accuracy. Finally, a numerical simulation for the WSN tracking system is given to demonstrate the effectiveness of the proposed method. KEYWORDS distributed estimation, event-triggered strategy, information fusion, Kalman filtering, wireless sensor networks (WSNs) 1174

show abstract

“…With the development of nonlinear control theory, the sliding mode control technique became an effective method to control nonlinear systems and to achieve the synchronization of chaotic and hyperchaotic systems [35]. e sliding mode control technique represents a powerful and robust technique [36][37][38][39]. Also, since discrete-time systems are easier to implement and using computers and DSP chips to implement controllers of discrete-time systems has become very common and simple [40,41], a discrete sliding mode control technique will be adopted in this work.…”

Section: Introductionmentioning

confidence: 99%

Synchronization of Synchronous Reluctance Motors Using the Discrete Sliding Mode Control Technique

Rahman

Zribi

Smaoui

2019

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The synchronous reluctance motor (SynRM) drive system is known to exhibit chaotic behavior under specified conditions. In this paper, the discrete-time sliding mode control (DSMC) technique is used to synchronize two SynRMs starting from different sets of initial conditions. The mixed variable speed reaching law is adopted in the design of the controller scheme. The parameters of the designed control scheme are tuned using a genetic algorithm (GA). Simulation results are presented to demonstrate the effectiveness of the proposed controller. In addition, the performance of the proposed control scheme is studied through simulations when bounded disturbances and mismatches between the parameters of the systems and those of the control scheme exist. The simulation results show that the designed control scheme is robust to bounded external disturbances and to mismatches in the parameters of the systems.

show abstract

Adaptive sliding mode fault-tolerant control for type-2 fuzzy systems with distributed delays

Cited by 158 publications

References 29 publications

Sliding mode control of discrete‐time switched systems subject to mode delays

Sliding mode control of discrete‐time switched systems subject to mode delays

Distributed two‐stage state estimation with event‐triggered strategy for multirate sensor networks

Synchronization of Synchronous Reluctance Motors Using the Discrete Sliding Mode Control Technique

Contact Info

Product

Resources

About