Fuzzy-model-based lateral control for networked autonomous vehicle systems under hybrid cyber-attacks
Date
2023
Authors
Lian, Z.
Shi, P.
Lim, C.C.
Yuan, X.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
IEEE Transactions on Cybernetics, 2023; 53(4):2600-2609
Statement of Responsibility
Zhi Lian, Peng Shi, Cheng-Chew Lim, and Xin Yuan
Conference Name
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.
School/Discipline
Dissertation Note
Provenance
Description
Published April 2023
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© 2022 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.