Passive-based Analysis and Control of Takagi-Sugeno Fuzzy Systems
Horst Schulte
Kapitel/Beitrag aus dem Buch: Schulte, H et al. 2024. Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024.
Part of
Kapitel/Beitrag aus dem Buch: Schulte, H et al. 2024. Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024.
In this paper, sufficient LMI-based conditions for general Quadratic Supply Rate (QSR) functions, known as QSR-dissipativity of nonlinear systems in Takagi- Sugeno form are proposed. To determine the stability of negative feedback loops of two systems, it is sufficient to prove the passivity of each individual system. This property can be used to ensure the stability of even globally distributed systems if the individual local systems are passive. This is particularly relevant for the stabilization of massively distributed power systems, for example. The passivity can either be a property of non-regulated systems or non-passive systems becomes passive through feedback controller. Both cases are analyzed for the class of Takagi-Sugeno fuzzy systems.
Schulte, H. 2024. Passive-based Analysis and Control of Takagi-Sugeno Fuzzy Systems. In: Schulte, H et al (eds.), Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.58895/ksp/1000174544-7
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Veröffentlicht am 18. November 2024