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Dynamic Event-Triggered MPC With Shrinking Prediction Horizon and Without Terminal Constraint
- Source :
- IEEE Transactions on Cybernetics. 52:12140-12149
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- This article develops a dynamic version of event-triggered model predictive control (MPC) without utilizing any terminal constraint. Such a dynamic event-triggering mechanism takes the advantages of both event- and self-triggering approaches by dealing explicitly with conservatism in the triggering rate and measurement frequency. The prediction horizon shrinks as the system states converge; we prove that the proposed strategy is able to stabilize the system even without any stability-related terminal constraint. Recursive feasibility of the optimization control problem (OCP) is also guaranteed. The simulation results illustrate the effectiveness of the scheme.
- Subjects :
- Scheme (programming language)
Computer science
Event (relativity)
Horizon
Computer Science Applications
Human-Computer Interaction
Constraint (information theory)
Model predictive control
Terminal (electronics)
Control and Systems Engineering
Control theory
Electrical and Electronic Engineering
Measurement frequency
computer
Software
Event triggered
Information Systems
computer.programming_language
Subjects
Details
- ISSN :
- 21682275 and 21682267
- Volume :
- 52
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Cybernetics
- Accession number :
- edsair.doi.dedup.....075d954b462bb2316f6b0e793e657962