Event-Triggered Predictive Control for LPV System with Bounded Disturbance and Round-Robin Protocol Scheduling

In this paper, the event-triggered output feedback model predictive control (MPC) for LPV system subject to roundrobin (RR) protocol scheduling and bounded disturbance. First, the event-triggered output feedback controller with a dynamic threshold trigging condition is utilized with the target to re...

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Bibliographic Details
Published inChinese Control and Decision Conference pp. 1 - 7
Main Authors Wang, Jun, Wu, Junjie
Format Conference Proceeding
LanguageEnglish
Published IEEE 16.05.2025
Subjects
Actuators
disturbance
Dynamic scheduling
Event detection
Event-triggered
model predictive control
Optimization
Output feedback
Prediction algorithms
Predictive control
Processor scheduling
Protocols
round-robin (RR) protocol
Sufficient conditions
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Summary:In this paper, the event-triggered output feedback model predictive control (MPC) for LPV system subject to roundrobin (RR) protocol scheduling and bounded disturbance. First, the event-triggered output feedback controller with a dynamic threshold trigging condition is utilized with the target to reduce the computation burden. Second, in order to avoid the data collision of network transmission problem, the RR protocol is adopted in the controller to actuator channel. Based on these techniques, an effective robust MPC problem that involves eventtriggered strategy, data scheduling, and bounded disturbance is designed as a min-max optimization problem. The sufficient conditions of closed-loop performance of the proposed MPC algorithm are finally given and proved. The simulation example is exploited to validate the effectiveness of the proposed results.
ISSN:1948-9447
DOI:10.1109/CCDC65474.2025.11090374