A More Configurable Finite Memory Event Triggering Control Scheme for Networked Control Systems

• Published in: IEEE access 2020, Vol.8, p.171078-171090
• Main Authors: Lee, Hyoung-Woong, Kwon, Wookyong, Park, Junmin, Han, Soohee
• Format: Article
• Language: English
• Subjects: Communication networks; Configuration management; Control systems; event triggering condition; event triggering control scheme (ETS); Feedback control; finite memory; Linear matrix inequalities; Mathematical analysis; Networked control system (NCS); Networked control systems; Parameters; Resource utilization; Stability analysis; State feedback; Steady-state; Transient analysis; Tuning
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2020.3024612

For a networked control system (NCS), this article proposes a more configurable event triggering control scheme that employs a finite 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-and-hold 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.