Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/155281
Title: Optimal tracking cooperative control for cyber-physical systems : dynamic fault-tolerant control and resilient management
Authors: Wang, Bohui
Zhang, Bin
Su, Rong
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2020
Source: Wang, B., Zhang, B. & Su, R. (2020). Optimal tracking cooperative control for cyber-physical systems : dynamic fault-tolerant control and resilient management. IEEE Transactions On Industrial Informatics, 17(1), 158-167. https://dx.doi.org/10.1109/TII.2020.2965538
Project: M4011866 RG94/17-(S) 
Journal: IEEE Transactions on Industrial Informatics 
Abstract: This article proposes a novel dynamic fault-tolerant control model to address the optimal tracking cooperative control problem for cyber-physical systems, by considering that all systems can be endowed as a multiagent system and the admissible levels of the actuator fault can be resiliently management. Different from previous works, the feedback gain for the cooperative controller design is no longer fixed, and actuator outage behaviors can be solved by a resilient control way. By introducing a sampling manner, a robust optimal framework is first developed to determine the appropriate feedback gain under a cost constraint for the dynamic fault model. The dynamic fault-tolerant control protocol is, then, designed to achieve the cooperative behaviors. Moreover, a fault management mechanism is proposed, in which the fault parameter is reset as an initial value when the fault growth is greater than the admissible level. By this design, the tracking cooperative behaviors can be achieved in a resilient management process. Two examples are presented to illustrate the effectiveness of the proposed theories.
URI: https://hdl.handle.net/10356/155281
ISSN: 1551-3203
DOI: 10.1109/TII.2020.2965538
Rights: © 2020 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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