Dynamic event-triggered tracking control for model-free networked control systems

Lin Zhu, Wei-Wei Che and Xiao-Zheng Jin

Applied Mathematics and Computation, 2022, vol. 431, issue C

Abstract: This study investigates the dynamic event-triggered (DET) model-free adaptive tracking control (DET-MFATC) problem for nonlinear systems with consideration of denial-of-service (DoS) attacks and round-trip time (RTT) delays. Firstly, we introduce an attack compensation mechanism for the sake of reducing the effects of DoS attacks. At the same time, a network predictive delay compensation mechanism is proposed for compensating the effects of RTT delays caused by packet dropouts, network time-delay and packet disorders. What’s more, the DET method is developed to save communication resources. The nonlinear system is represented by an equivalent data model where the nonlinear characteristics are expressed as pseudo-partial derivative (PPD) parameters. The designed DET-MFATC algorithm can guarantee the security tracking control problem only using input and output (I/O) data. In the end, simulation results clearly certify the effectiveness of the presented algorithm.

Keywords: Model-free adaptive control; Dynamic event-triggered mechanism; RTT Delays; Compensation mechanism; DoS Attacks (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:431:y:2022:i:c:s0096300322004234

DOI: 10.1016/j.amc.2022.127349

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