JOURNAL ARTICLE

Dynamic event-triggered predictive control for networked control systems

Abstract

This paper investigates the output-based predictive control problem for networked control systems (NCSs) with delays and data loss using the dynamic event-triggered mechanism (DETM). And the output-based DETM is proposed to utilize the network resources more efficiently while ensuring the system performance. The combination of DETM and observer-based networked predictive control (NPC) approach is developed to actively compensate the network delays and data loss, which enables the closed-loop system to maintain the desired performance and stability. In addition, a sufficient condition is deduced to ensure the stability of the NPC system by adopting an augmented model approach. Finally, the validity of the design procedure is demonstrated by an example.

Keywords:
Model predictive control Control theory (sociology) Networked control system Computer science Stability (learning theory) Observer (physics) Control system Control (management) Data loss Control engineering Event (particle physics) System dynamics Engineering Artificial intelligence

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Topics

Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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