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Journal Article A More Configurable Finite Memory Event Triggering Control Scheme for Networked Control Systems
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Authors
Hyoung-Woong Lee, Wookyong Kwon, Junmin Park, Soohee Han
Issue Date
2020-09
Citation
IEEE Access, v.8, pp.171078-171090
ISSN
2169-3536
Publisher
IEEE
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/ACCESS.2020.3024612
Abstract
For a networked control system (NCS), this article proposes a more configurable event triggering control scheme that employs afinite memory structure with tuning parameters for efficiently utilizing network resources in transient and steady-state responses. The proposed finite memory event triggering control scheme (FMETS) uses the current and past states on the recent finite time horizon to asymptotically stabilize a closed-loop system. Tuning parameters can be configured according to the forgetting level, the triggering threshold, and the memory size. Since the FMETS takes a sample-andhold approach, the undesirable Zeno effect can be avoided automatically. To use an efficient computation solver, the proposed FMETS is formulated into linear matrix inequalities (LMIs). It is shown through a simulation study that the proposed FMETS provides less conservative results and furthermore enables effective configuration for high control performance and efficient network resource utilization.
KSP Keywords
Asymptotically Stabilize, Closed-loop systems, Control performance, Control scheme, Effective configuration, Efficient computation, Event-triggering, Finite memory, Finite time horizon, Linear matrix inequalities(LMI), Matrix inequality
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
CC BY