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Almost Sure Resilient Consensus Under Stochastic Interaction: Links Failure and Noisy Channels
File | Description | Size | Format | |
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Rezaee_Parisini_Polycarpou_TAC_Accepted_Version_18_11_2020.pdf | Accepted version | 2.08 MB | Adobe PDF | View/Open |
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 |