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

Abstract

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.

Enhanced gain‐scheduling fault estimation of discrete‐time Takagi–Sugeno nonlinear systems: A novel free matrix approach

“…Because of various technical reasons exist in actual measurements of electronic circuits, some of the system state variables can't be directly available in practice. [1][2][3] So, the topic of state estimation seems meaningful and valuable. 4,5 In recent years, nonlinear state estimation has been intensively addressed in the literature, such as References 6-8.…”

“…Because of various technical reasons exist in actual measurements of electronic circuits, some of the system state variables can't be directly available in practice 1‐3 . So, the topic of state estimation seems meaningful and valuable 4,5 .…”

A switched system approach to exponential filtering design for Takagi–Sugeno fuzzy systems with sampled‐data measurements subject to packet dropouts

“…Another advantage of T‐S fuzzy models is that they make the investigation of complex nonlinear systems enjoy the well‐developed theory for linear systems 7 . Thanks to their advantages and effectiveness, T‐S fuzzy‐model‐based control systems have drawn a great deal of attention and many elegant results have been reported during the past few decades 8‐12 …”

“…7 Thanks to their advantages and effectiveness, T-S fuzzy-model-based control systems have drawn a great deal of attention and many elegant results have been reported during the past few decades. [8][9][10][11][12] Another research frontier is the sampled-data control systems, where the output measurements are not continuously sampled but only at sampling instants. In other words, both continuous-and discrete-time signals are involved in sampled-data systems, 13,14 which makes the analysis and synthesis of such systems difficult and challenging.…”

Event-Based State Estimation for Networked Singularly Perturbed Complex Networks

“…In addition, increasing attention is devoted to the eventtriggered protocol (ETP), in which the current packet is released if the ETP-based triggering condition is satisfied [24][25][26]. Past years have witnessed an increasing interest in ETPs, including static ETPs, dynamic ETPs, and memory ETPs [27][28][29][30][31][32][33][34]. It is noted that in the above-referred ETPs, the triggering parameter is assumed to be the same for all dynamic outputs/states.…”