Dynamic Quantized Tracking Control for Nonlinear Strict-Feedback Systems Under DoS Attacks and Exogenous Disturbances
This article studies the problem of quantized backstepping tracking control for nonlinear strict-feedback systems subject to denial-of-service (DoS) attacks, data rate constraints, and exogenous disturbances. Due to limited network resources, only finite bits of data can be transmitted per time unit...
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Published in | IEEE transactions on industrial informatics Vol. 21; no. 6; pp. 4511 - 4521 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Piscataway
IEEE
01.06.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
ISSN | 1551-3203 1941-0050 |
DOI | 10.1109/TII.2025.3541716 |
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Summary: | This article studies the problem of quantized backstepping tracking control for nonlinear strict-feedback systems subject to denial-of-service (DoS) attacks, data rate constraints, and exogenous disturbances. Due to limited network resources, only finite bits of data can be transmitted per time unit. A constant bit encoding-decoding scheme is first designed to guarantee limited data transmissions and be robust to DoS attacks and exogenous disturbances. To reduce the data rate, a variable bit encoding-decoding scheme is further designed that adaptively adjusts the data rate according to the actual frequency and duration of DoS attacks. High-order filters are designed to avoid repeatedly differentiating discontinuous state variables caused by discrete network behaviors in the design of backstepping controller. It is shown that all the closed-loop signals are globally uniformly bounded and the tracking error converges to a neighborhood of the origin. The effectiveness of the proposed scheme is illustrated by the experiment of the wheeled mobile robot. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 1551-3203 1941-0050 |
DOI: | 10.1109/TII.2025.3541716 |