Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/32041
Title: A survey on control for Takagi-Sugeno fuzzy systems subject to engineering-oriented complexities
Authors: Wang, Y
Zou, L
Ma, L
Zhao, Z
Guo, J
Keywords: T-S fuzzy systems;T-S fuzzycontrol;nonlinear systems;engineering-oriented complexities;networked control systems;network-induced phenomena
Issue Date: 1-Apr-2021
Publisher: Taylor and Francis
Citation: Wang, Y. et al. (2021) 'A survey on control for Takagi-Sugeno fuzzy systems subject to engineering-oriented complexities', Systems Science and Control Engineering, 9 (1), pp. 334 - 349. doi: 10.1080/21642583.2021.1907259.
Abstract: Nonlinearities exist everywhere and the investigation on control problems for nonlinear systems is of both theoretical and practical significance. The Takagi-Sugeno (T-S) fuzzy techniques, as one of the powerful model-based tools for dealing with control problems for nonlinear systems, have received considerable and persistent research attention during the recent decades. Based on the T-S fuzzy model, many complicated nonlinear control problems have been addressed in the literature. In this paper, we aim to provide a survey with respect to the T-S fuzzy control problems with complexities that are frequently encountered in the engineering practice. Firstly, the backgrounds of the fuzzy control and engineering-oriented complexities are discussed. The considered complexities are divided into traditional engineering-oriented ones and the network-induced ones. The former mainly includes time-delays, parameter uncertainties, sensor/actuator faults and the latter contains network-induced phenomena, communication protocols, event-triggered schemes and cyber-attacks. Then, the recent progress on the T-S fuzzy control problems subject to these complexities has been reviewed in details. Finally, based on the literature review, the conclusions are drawn and some possible future topics are given.
URI: https://bura.brunel.ac.uk/handle/2438/32041
DOI: https://doi.org/10.1080/21642583.2021.1907259
Other Identifiers: ORCiD: Lei Zou https://orcid.org/0000-0002-0409-7941
ORCiD: Lifeng Ma https://orcid.org/0000-0002-1839-6803
Appears in Collections:Dept of Computer Science Research Papers

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