Estimate-Based Dynamic Memory-Event-Triggered Control for Nonlinear Networked Control Systems Subject to Hybrid Attacks

• Published in: Mathematics (Basel) Vol. 13; no. 17; p. 2829
• Main Authors: Zhang, Bo, Zhang, Tao, Xi, Zesheng, Wang, Yunfan, Yang, Meng
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2025
• Subjects: Algorithms; Analysis; Bandwidths; Communication; Control systems; Control theory; Data transmission; Deception; Denial of service attacks; Design; Event triggered control; hybrid attacks; Network control; Nonlinear control; nonlinear networked control systems; Numerical analysis; observer; secure control; Signal integrity; Simulation methods; Systems stability
• ISSN: 2227-7390; 2227-7390
• DOI: 10.3390/math13172829

Within the framework of a dynamic memory-event-triggered mechanism (DMETM), this paper proposes an estimate-based secure control algorithm for nonlinear networked control systems (NNCSs) that suffer from hybrid attacks. Firstly, a sampled-data observer is employed utilizing the output signals to estimate the states. Secondly, due to the limitation of data transmission capacity in NNCSs, a novel DMETM with auxiliary variable is proposed, which effectively leverages the benefits of historical sampled data. In the process of network data transmission, a hybrid attack model that simultaneously considers the impact of both deception and denial of service (DoS) attacks is introduced, which can undermine signal integrity and disrupt data transmission. Then, a memory-event-triggered controller is developed, and the mean square stability of the NNCSs can be ensured by selecting some appropriate values. Finally, a numerical simulation and a practical example are given to illustrate the meaning of the designed dynamic memory-event-triggered control (DMETC) algorithm.