NDLI: Distributed event-triggered networked set-membership filtering with partial information transmission

Content Provider	IET Digital Library
Author	Xia, Nan Yang, Fuwen Han, Qing Long
Abstract	This study addresses the problem of distributed event-triggered set-membership filtering for a class of discrete time-varying systems in the presence of unknown-but-bounded noises. First, an event-triggered mechanism is introduced to choose those necessary data packets to be transmitted. Second, a partial information transmission scheme is proposed, by which, once an event is triggered, not all the information of the data packet, but parts of them are released to the communication network. As a result, communication network resources can be saved significantly. Third, some sufficient conditions on distributed networked set-membership filtering are derived using a time-varying convex optimisation approach. Moreover, based on an intersection method, a novel global estimation is proposed to integrate the local estimations by locating the intersection of all the local estimations within a volume-minimal external ellipsoid. Finally, simulation results demonstrate the feasibility and effectiveness of the proposed methods.
Starting Page	155
Ending Page	163
Page Count	9
ISSN	17518644
Volume Number	11
e-ISSN	17518652
Issue Number	Issue 2, Jan (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/11/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2016.0781
Journal	IET Control Theory & Applications
Publisher Date	2016-09-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Communication Network Resources Convex Programming Data Packets Discrete Control System Discrete Time System Discrete Time-varying System Distributed Event-triggered Networked Set-membership Filtering Filtering Method in Signal Processing Filtering Theory Global Estimation Intersection Method Local Estimations Networked Control System Noise Optimisation Technique Partial Information Transmission Scheme Signal Processing Theory Sufficient Condition Time Varying Control System Time Varying System Time-varying Convex Optimisation Unknown-but-bounded Noises Volume-minimal External Ellipsoid
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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