Event-Triggered Control for Networked Predictive Control Systems with Time Delay and External Disturbance
This paper develops a novel combination of the event-triggered disturbance estimation and rejection (DER) technique, and the networked predictive control (NPC) strategy for the networked control systems (NCSs) with external disturbance and time delay. Firstly, the Luenberger observers are constructed to estimate system state and disturbance, respectively. Next, with the aid of the observer-based NPC strategy, the effect of network-induced time delay is compensated effectively. Simultaneously, the DER technique is incorporated into the networked predictive controller design for the disturbance rejection. Furthermore, to cope with the networked bandwidth constraint, the event-triggered DER&NPC technique is embedded in the controller design of the considered NCSs to ensure the desired closed-loop system performance with a more efficient network resource utilization. Finally, two simulation examples are exploited to validate the proposed results.
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|Document Type||Journal Article|
|Department||Southern University of Science and Technology|
1.School of Control Science and Engineering, Shandong University, Jinan, China
2.College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
3.Center for Control Science and Technology, Southern University of Science and Technology, Shenzhen, China
Yang，Rongni,Li，Guitong,Zhu，Yanzheng,et al. Event-Triggered Control for Networked Predictive Control Systems with Time Delay and External Disturbance[J]. IEEE Transactions on Control of Network Systems,2023,PP(99):1-10.
Yang，Rongni,Li，Guitong,Zhu，Yanzheng,&Liu，Guo Ping.(2023).Event-Triggered Control for Networked Predictive Control Systems with Time Delay and External Disturbance.IEEE Transactions on Control of Network Systems,PP(99),1-10.
Yang，Rongni,et al."Event-Triggered Control for Networked Predictive Control Systems with Time Delay and External Disturbance".IEEE Transactions on Control of Network Systems PP.99(2023):1-10.
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