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A delayed Takagi–Sugeno fuzzy control approach with uncertain measurements using an extended sliding mode observer
China University of Mining and Technology, Xuzhou, China; Guangxi University of Science and Technology, Liuzhou, China.
Halmstad University, School of Information Technology.ORCID iD: 0000-0002-2851-4260
Bournemouth University, Poole, United Kingdom.ORCID iD: 0000-0002-9128-068X
National Yunlin University of Science and Technology, Douliou, Taiwan.
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2023 (English)In: Information Sciences, ISSN 0020-0255, E-ISSN 1872-6291, Vol. 643, article id 119204Article in journal (Refereed) Published
Abstract [en]

In this study, a sliding mode observer (SMO) is implemented on a T–S fuzzy system with multiple time–varying delays over continuous time. Because state data may not be fully available in practice, state observers are used to estimate state information. A system based on observers is implemented with non–parallel distribution compensation (N-PDC). Moreover, the concept of dissipative control provides a framework for analyzing the performance of H∞, L2L∞, and dissipativeness. In order to design two sliding surfaces using the SMO gain matrix, first two integral–type sliding surfaces must be constructed. Then, we define a few additional parameters using fuzzy Lyapunov stability and SMO theory, resulting in asymptotically stable closed–loop performances. On the basis of the new error system, convex optimization is used to generate the sliding mode controller and the gained weight matrices. Following is an example of the power system (ship electric propulsion) to demonstrate the potential scheme. © 2023 Elsevier Inc.

Place, publisher, year, edition, pages
Philadelphia, PA: Elsevier, 2023. Vol. 643, article id 119204
Keywords [en]
Dissipative analysis, Fuzzy Lyapunov–Krasovskii functions, Sliding mode control, Time–delay system
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hh:diva-51464DOI: 10.1016/j.ins.2023.119204ISI: 001016872000001Scopus ID: 2-s2.0-85161069533OAI: oai:DiVA.org:hh-51464DiVA, id: diva2:1789387
Available from: 2023-08-18 Created: 2023-08-18 Last updated: 2023-08-18Bibliographically approved

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Tiwari, Prayag

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