JOURNAL ARTICLE

Output-Based Event-Triggered Predictive Control for Networked Control Systems

Rongni YangWei Xing Zheng

Year: 2019 Journal:   IEEE Transactions on Industrial Electronics Vol: 67 (12)Pages: 10631-10640   Publisher: Institute of Electrical and Electronics Engineers

Abstract

In this article, the output-based predictive control problem for networked control systems (NCSs) with communication delays is investigated by utilizing the event-triggered mechanism (ETM). First, the output-based ETM is introduced in order to save limited network resources effectively. Second, the system states are estimated from the received output measurements by the Luenberger observer. Third, the model-based networked predictive control (NPC) approach is developed to actively deal with the time delay and stabilize the system. Moreover, two different approaches including the augmented model and the piecewise linear model are adopted, and sufficient conditions that guarantee the closed-loop stability and performance are further provided, respectively. Finally, two simulation examples are given to demonstrate the effectiveness and applicability of the proposed methods for the addressed NCSs.

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

Metrics

99
Cited By
9.25
FWCI (Field Weighted Citation Impact)
26
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

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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