Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/134744
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DC Field | Value | Language |
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dc.contributor.author | Lian, Z. | - |
dc.contributor.author | Shi, P. | - |
dc.contributor.author | Lim, C.C. | - |
dc.contributor.author | Yuan, X. | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | IEEE Transactions on Cybernetics, 2023; 53(4):2600-2609 | - |
dc.identifier.issn | 1083-4419 | - |
dc.identifier.issn | 2168-2275 | - |
dc.identifier.uri | https://hdl.handle.net/2440/134744 | - |
dc.description | Published April 2023 | - |
dc.description.abstract | This article addresses the problem of lateral control problem for networked-based autonomous vehicle systems. A novel solution is presented for nonlinear autonomous vehicles to smoothly follow the planned path under external disturbances and network-induced issues, such as cyber-attacks, time delays, and limited bandwidths. First, a fuzzy-model-based system is established to represent the nonlinear networked vehicle systems subject to hybrid cyber-attacks. To reduce the network burden and effects of cyber-attacks, an asynchronous resilient eventtriggered scheme (ETS) is proposed. A dynamic output-feedback control method is developed to address the underlying problem. Conditions are derived to obtain the output-feedback controller and resilient asynchronous ETS such that the closed-loop switched fuzzy system is globally exponentially stable. Examples are provided to demonstrate the effectiveness and merits of the proposed new control design techniques. | - |
dc.description.statementofresponsibility | Zhi Lian, Peng Shi, Cheng-Chew Lim, and Xin Yuan | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers | - |
dc.rights | © 2022 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information. | - |
dc.source.uri | http://dx.doi.org/10.1109/tcyb.2022.3151880 | - |
dc.subject | Autonomous vehicles; cyber-attacks; lateral control; networked control systems (NCSs); resilient event-triggered scheme (ETS) | - |
dc.title | Fuzzy-model-based lateral control for networked autonomous vehicle systems under hybrid cyber-attacks | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1109/TCYB.2022.3151880 | - |
dc.relation.grant | http://purl.org/au-research/grants/arc/DP170102644 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Lian, Z. [0000-0002-8637-1704] | - |
dc.identifier.orcid | Shi, P. [0000-0001-8218-586X] | - |
dc.identifier.orcid | Lim, C.C. [0000-0002-2463-9760] | - |
dc.identifier.orcid | Yuan, X. [0000-0001-5056-171X] | - |
Appears in Collections: | Electrical and Electronic Engineering publications |
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