Aperiodic sampled-data sliding-mode control of fuzzy systems with communication delays via the event-triggered method

Wen, S; Huang, T; Yu, X; Chen, MZQ; Zeng, Z

Aperiodic sampled-data sliding-mode control of fuzzy systems with communication delays via the event-triggered method

Wen, S

Huang, T Yu, X Chen, MZQ Zeng, Z

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Fuzzy Systems, 2016, 24, (5), pp. 1048-1057
Issue Date:: 2016-10-01

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Field	Value	Language
dc.contributor.author	Wen, S https://orcid.org/0000-0001-8077-7001
dc.contributor.author	Huang, T
dc.contributor.author	Yu, X
dc.contributor.author	Chen, MZQ
dc.contributor.author	Zeng, Z
dc.date.accessioned	2022-08-15T00:45:17Z
dc.date.available	2022-08-15T00:45:17Z
dc.date.issued	2016-10-01
dc.identifier.citation	IEEE Transactions on Fuzzy Systems, 2016, 24, (5), pp. 1048-1057
dc.identifier.issn	1063-6706
dc.identifier.issn	1941-0034
dc.identifier.uri	http://hdl.handle.net/10453/160160
dc.description.abstract	This paper studies the aperiodic sampled-data control for the sliding-mode control (SMC) scheme of fuzzy systems with communication-induced delays via the event-triggered method. In practice, it is impossible to update control in continuous manner; thus, an event-based control technique has become popular with the advantage that the control task is executed only if it is triggered by an event. In this paper, the event-based sliding-mode control (ESMC) is designed for each linear subsystem of the global fuzzy model first. Then, the conditions for "fuzzily" amalgamated ESMC are discussed to stabilize the global fuzzy model. This ensures that the SMCis executed only when necessary. Furthermore, the results are extended to the fuzzy systems with communication-induced delays. Finally, case studies are carried out to demonstrate the effectiveness of the derived results.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation	National Natural Science Foundation of China61403152
dc.relation.ispartof	IEEE Transactions on Fuzzy Systems
dc.relation.isbasedon	10.1109/TFUZZ.2015.2501412
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0102 Applied Mathematics, 0801 Artificial Intelligence and Image Processing, 0906 Electrical and Electronic Engineering
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Aperiodic sampled-data sliding-mode control of fuzzy systems with communication delays via the event-triggered method
dc.type	Journal Article
utslib.citation.volume	24
utslib.for	0102 Applied Mathematics
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	closed_access	*
dc.date.updated	2022-08-15T00:45:16Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	24
utslib.citation.issue	5

Abstract:

This paper studies the aperiodic sampled-data control for the sliding-mode control (SMC) scheme of fuzzy systems with communication-induced delays via the event-triggered method. In practice, it is impossible to update control in continuous manner; thus, an event-based control technique has become popular with the advantage that the control task is executed only if it is triggered by an event. In this paper, the event-based sliding-mode control (ESMC) is designed for each linear subsystem of the global fuzzy model first. Then, the conditions for "fuzzily" amalgamated ESMC are discussed to stabilize the global fuzzy model. This ensures that the SMCis executed only when necessary. Furthermore, the results are extended to the fuzzy systems with communication-induced delays. Finally, case studies are carried out to demonstrate the effectiveness of the derived results.

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http://hdl.handle.net/10453/160160