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Almost Sure Resilient Consensus Under Stochastic Interaction: Links Failure and Noisy Channels

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Title: Almost Sure Resilient Consensus Under Stochastic Interaction: Links Failure and Noisy Channels
Authors: Rezaee, H
Parisini, T
Polycarpou, M
Item Type: Journal Article
Abstract: The resilient consensus problem over a class of discrete-time linear multiagent systems is addressed. Because of external cyber-attacks, some agents are assumed to be malicious and not following a desired cooperative behavior. Thus, the objective consists in designing a control strategy for the healthy agents to reach consensus upon their state vectors, while due to interaction among the agents, the malicious agents try to prevent them to achieve consensus. Although this problem has been investigated by some researchers, under the existing approaches in the literature, achieving consensus is only guaranteed when the information exchange among the agents is deterministic. Based on this motivation, the main contribution of the paper is on almost sure resilient consensus control of a network of healthy agents in the presence of stochastic links failure and communication noises. We design a discrete-time protocol for the set of the healthy agents, and we show that under some probabilistic conditions on interaction among the agents, achieving almost sure consensus among the healthy agents can be guaranteed. The results also are verified by numerical examples
Date of Acceptance: 18-Nov-2020
URI: http://hdl.handle.net/10044/1/85847
DOI: 10.1109/TAC.2020.3043322
ISSN: 0018-9286
Publisher: Institute of Electrical and Electronics Engineers
Journal / Book Title: IEEE Transactions on Automatic Control
Volume: 66
Issue: 12
Copyright Statement: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Science & Technology
Technology
Automation & Control Systems
Engineering, Electrical & Electronic
Engineering
Stochastic processes
Noise measurement
Robustness
Technological innovation
Electronic mail
Switches
Safety
Almost sure consensus
communication noises
cyber-physical systems
discrete-time
malicious agents
multiagent systems (MASs)
stochastic topology
MULTIAGENT SYSTEMS
SWITCHING TOPOLOGY
AVERAGE-CONSENSUS
NETWORKS
COMMUNICATION
ALGORITHMS
SYNCHRONIZATION
AGENTS
Industrial Engineering & Automation
0102 Applied Mathematics
0906 Electrical and Electronic Engineering
0913 Mechanical Engineering
Online Publication Date: 2020-12-08
Appears in Collections:Electrical and Electronic Engineering
Faculty of Engineering