
Integrated stabilisation policy over multipath routing‐enabled network
Author(s) -
Tan Cheng,
Wong Wing Shing,
Zhang Huanshui,
Zhang Zhengqiang
Publication year - 2020
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2020.0312
Subject(s) - control theory (sociology) , network packet , computer science , actuator , multipath routing , dropout (neural networks) , mathematical optimization , mathematics , control (management) , routing protocol , static routing , computer network , artificial intelligence , machine learning
In this study, a sampled‐data networked control system over a multipath routing‐enabled network is investigated, where each delivered signal in a path suffers a random delay. For such a system, the mean square stabilisation problem is considered under the joint design of the event‐driven strategy on the actuator side and the control policy on the decision‐maker side. The contributions of this study are twofold. First, by pre‐defining an application time as an event‐triggering parameter, the sampled‐data system is transformed into a stochastic form with input delay and packet dropout. When the probability distribution F ( ⋅ ) of random delay is known a priori, the close form of packet dropout rate is proposed and a set of necessary and sufficient stabilisation conditions are developed simultaneously. When F ( ⋅ ) is unknown, the reduced system is an uncertain dynamic system. Utilising matrix polynomials, a verifiable criterion is derived for stabilising the uncertain system, which is also necessary and sufficient. Second, for the scalar system, the close form of allowable sampling period bound is developed in terms of F ( ⋅ ) and system parameters.