Dynamic event‐triggered networked predictive control for discrete‐time NCSs under deception attacks

Abstract

This paper investigates the dynamic event-triggered predictive control problem for discrete-time networked control systems under deception attacks. A new dynamic event-triggered scheme is proposed for discrete-time networked predictive control systems to reduce the data transmission. The feature of the dynamic event-triggered scheme is that the triggering threshold is adjusted dynamically.The Luenberger observer is provided to estimate the output measurements. The networked predictive control method is used to compensate for the time delay. Next, by using the piecewise linear model and the augmented model methods, sufficient conditions are established to guarantee the mean square asymptotic stability of the closed-loop systems, respectively. Finally, the effectiveness of the proposed approach is validated via a buck DC-DC converter system.

Dual Event-Triggered Controller Co-Design for Networked Control Systems with Network-Induced Delays

“…In the case of limited communication bandwidth, reducing unnecessary data transmission can increase data transfer efficiency, thereby reducing the problem of data transmission delays in communication networks. Recently, the ETM has triggered much academic research [13][14][15][16][17][18]. Zha et al [19] studied the H ∞ output feedback control issue for event-triggered Markovian jump systems with measurement output quantization.…”

Event-based networked predictive control of cyber-physical systems with delays and DoS attacks

“…1) Design of Kalman filter: To obtain the state estimate at time t, the Kalman filter [8] is designed as…”

“…with , . Although and in (2) are the time-varying matrices, they commonly converge within a few steps [8]. Therefore, the time-varying matrices and are redefined by Then, the Kalman filter in (2) can be rewritten as the following form:…”