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Predictor-based periodic event-triggered control for dual-rate networked control systems with disturbances

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journal contribution
posted on 18.10.2021, 14:36 by Jiankun Sun, Jun YangJun Yang, Shihua Li, Zhigang Zeng
This article considers the problem of periodic event-triggered control design for dual-rate networked control systems subject to nonvanishing disturbance. The plant considered in this article is a kind of dual-rate networked control system, where the sensor samples the measurement output at a slow rate and the actuator updates the control input at a fast rate. Despite the slow-rate sampling of the sensor, a new output predictor-based observer is proposed to accurately estimate system state and disturbance in the intersample time interval, and an active anti-disturbance controller that updates at a fast rate is accordingly proposed, such that the desirable control performance and disturbance rejection performance can be achieved. At each fast-rate updating time instant, we use the prediction technique to generate a data packet, including the computed current control input and the predicted values of the control inputs for the future finite steps, and design a new periodic event-triggered mechanism to determine whether to transmit the data packet via a communication network or not. The proposed control method is easily implemented in digital platform since it has a discrete-time form. To verify the effectiveness of the proposed control method, we finally present the simulation results of a practical speed control system.


National Natural Science Foundation of China under Grants U1913602, 61936004, and 62003144

Technology Innovation Project of Hubei Province of China under Grant 2019AEA171

National Postdoctoral Program for Innovative Talents of China under Grant BX20200140

Postdoctoral Science Foundation of China under Grant 2020M682415

111 Project on Computational Intelligence and Intelligent Control under Grant B18024



  • Aeronautical, Automotive, Chemical and Materials Engineering


  • Aeronautical and Automotive Engineering

Published in

IEEE Transactions on Cybernetics


1 - 12


Institute of Electrical and Electronics Engineers (IEEE)


AM (Accepted Manuscript)

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Dr Jun Yang. Deposit date: 18 October 2021