A Novel Robust Extended Dissipativity State Feedback Control system design for Interval Type-2 Fuzzy Takagi-Sugeno Large-Scale Systems

In this paper, we use the advantage of large-scale systems modeling based on the type-2 fuzzy Takagi-Sugeno model to cover the uncertainties caused by large-scale systems modeling. The advantage of using membership function information is the reduction of conservatism resulting from stability analys...

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Bibliographic Details
Published inarXiv.org
Main Authors Mojtaba Asadi Jokar, Zamani, Iman, Manthouri, Mohamad, Sarbaz, Mohammad
Format Paper Journal Article
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 31.08.2021
Subjects
Computer Science - Systems and Control
Control stability
Control systems design
Feedback control
Fuzzy systems
Linear matrix inequalities
Mathematical analysis
Performance indices
Perturbation
Robust control
Stability analysis
State feedback
Systems modelling
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Summary:In this paper, we use the advantage of large-scale systems modeling based on the type-2 fuzzy Takagi-Sugeno model to cover the uncertainties caused by large-scale systems modeling. The advantage of using membership function information is the reduction of conservatism resulting from stability analysis. Also, this paper uses the extended dissipativity robust control performance index to reduce the effect of external perturbations on the large-scale system, which is a generalization of H, L, passive, and dissipativity performance indexes and control gains can be achieved through solving linear matrix inequalities (LMIs), so the whole closed-loop fuzzy large-scale system is asymptotically stable.. Finally, the effectiveness of the proposed method is demonstrated by a numerical example of a double inverted pendulum system.
ISSN:2331-8422
DOI:10.48550/arxiv.2108.13799