Reliable control design for composite‐driven scheme based on delay networked T‐S fuzzy system

This article focuses on the problem of adaptive fixed-time dynamic surface fault-tolerant control for a class of strict-feedback nonlinear systems subject to sensor faults. The sensor faults include bias, drift, loss of accuracy and loss of effectiveness. Our control objective is to construct an adaptive fixed-time fault-tolerant controller to ensure that the system output tracks a desired trajectory within fixed time and the tracking error converges to a small area of zero whether the sensor faults occur or what kind of sensor faults take place. One of the characteristics of our proposed scheme is that its tracking time has no connection with the initial conditions of the system. Furthermore, as for unknown nonlinear functions, fuzzy logic systems are utilized to approximate them. And the complex calculation problem, which exists in the traditional backstepping method, has been dealt with by using the dynamic surface control technique. The proposed controller takes into account the reliability, rapidity, robustness and anti-interference of the system simultaneously, and the singularity problem in controller design is solved. In the end, the simulation results illustrate that the presented strategy is feasible and effective.

“…Remark 3. Many practical systems are able to be modeled as (12 ), and most of them usually are subject to sensor faults. The sensor faults can reduce or damage the system performance.…”

Section: Problem Statementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive fixed‐time dynamic surface fault‐tolerant control of nonlinear systems with sensor faults

Ying-sen

Chen

Peng

2022

“…However, the coaction of time delays and malicious attacks will naturally result in the asynchrony of the premise variables between fuzzy plant models and fuzzy controllers. 38 The existence of asynchronous premises will reduce the control performance of the NCSs. On this occasion, the control method for the networked fuzzy systems subjected to malicious attacks and bandwidth constraints should consider the asynchronous problem of premises.…”

Section: Introductionmentioning

confidence: 99%

An adaptive torus‐event‐based controller design for networked T‐S fuzzy systems under deception attacks

Zhu

Liu

2021

This article addresses the adaptive torus-event-based  ∞ control problem for a class of networked Takagi-Sugeno (T-S) fuzzy systems under deception attacks. Due to the inherent openness of the network, the inevitable deception attacks in the networked T-S fuzzy systems always appear randomly. The occurrence of deception attacks is successfully described by using a binary stochastic variable with known statistical characteristics. Under the considered adaptive torus-event-based communication mechanism,  ∞ fuzzy controllers are constructed to guarantee the asymptotically mean-square stability (AMSS) and the  ∞ index of the networked T-S fuzzy systems under deception attacks. To design the desired  ∞ fuzzy controllers, a unified framework of the networked T-S fuzzy systems is first established via the adaptive torus-event-based communication mechanism, the mathematical model of deception attacks, and the asynchronous premise technology. By utilizing the extended Lyapunov function, the sufficient conditions are simultaneously derived to address the AMSS and the disturbance suppression issues of closed-loop control systems. Subsequently, the adaptive torus-event-based  ∞ fuzzy controller gains are calculated via linear matrix inequalities. Finally, a simulation example concerning the tunnel circuit system is established to verify the availability and reliability of the proposed control mechanism.

“…These subsystems are connected by membership functions and have independent controllers. Hence, considering the fuzzy plants, many universally acknowledged achievements on stability analyses and syntheses have been proposed 24‐26 . For example, general fuzzy control problems have been illustrated in Reference 27, and fuzzy fault detection has been addressed in Reference 28.…”

Section: Introductionmentioning

confidence: 99%

Output feedback fuzzy control of nonlinear dynamic systems: Event‐triggered case

Chen

Jiao

et al. 2021

The event‐triggered output feedback controller design problem is investigated in this article for a class of discrete‐time Takagi–Sugeno fuzzy systems. We focus on constructing a closed‐loop system by considering the event generator communication mechanism, interval time‐varying delays, and packet dropouts. Under this newly established system, a less conservative stability condition is obtained using the Wirtinger‐based inequality and reciprocally convex approach, which guarantees that the corresponding augmented system is asymptotically stable in the mean‐squared sense with a prespecified l2–l∞ performance. The solution of the designed output feedback controller parameters can then be obtained by variable substitution method and by conversion of the controller parameters. Finally, two examples are presented to demonstrate the effectiveness of the proposed controller design technique.