Periodic event-triggered networked control systems subject to large transmission delays
Hao Yu, Tongwen Chen

TL;DR
This paper develops a hybrid system model for nonlinear networked control systems with large, time-varying delays, proposing a dynamic event-triggered scheme to reduce transmissions while ensuring stability.
Contribution
It introduces a new hybrid system approach and analyzes the relationship between sampling periods and delays, along with a dynamic event-triggered control scheme for nonlinear systems.
Findings
Established conditions for input-to-state stability under delays.
Designed a dynamic event-triggered control scheme.
Validated results with nonlinear system simulations.
Abstract
This paper studies periodic event-triggered networked control for nonlinear systems, where the plants and controllers are connected by multiple independent communication channels. Several network-induced imperfections are considered simultaneously, including time-varying inter-sampling times, sensor node scheduling, and especially, large time-varying transmission delays, where the transmitted signal may arrive at the destination node after the next transmission occurs. A new hybrid system approach is provided to model the closed-loop system that contains all communication related behavior. Then, by constructing new storage functions on the system state and updating errors, the relationship between the maximum allowable sampling period (MASP) and maximum allowable delay number in sampling (MADNS) is analyzed, where the latter denotes how many inter-sampling periods can be included in one…
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Taxonomy
TopicsStability and Control of Uncertain Systems · Neural Networks Stability and Synchronization · Distributed Control Multi-Agent Systems
