Event-Based Stabilization over Networks with Transmission Delays
Author(s) -
Xiangyu Meng,
Tongwen Chen
Publication year - 2012
Publication title -
journal of control science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.208
H-Index - 18
eISSN - 1687-5257
pISSN - 1687-5249
DOI - 10.1155/2012/212035
Subject(s) - inverted pendulum , control theory (sociology) , transmission (telecommunications) , computer science , event (particle physics) , stability (learning theory) , exponential stability , control (management) , telecommunications , nonlinear system , artificial intelligence , machine learning , physics , quantum mechanics
This paper investigates asymptotic stabilization for linear systems over networks based on event-driven communication. A new communication logic is proposed to reduce the feedback effort, which has some advantages over traditional ones with continuous feedback. Considering the effect of time-varying transmission delays, the criteria for the design of both the feedback gain and the event-triggering mechanism are derived to guarantee the stability and performance requirements. Finally, the proposed techniques are illustrated by an inverted pendulum system and a numerical example
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