Kapitel/Beitrag aus dem Buch: Schulte, H et al. 2022. Proceedings – 32. Workshop Computational Intelligence: Berlin, 1. – 2. Dezember 2022.
This paper deals with the comparison of two model-based design methods for
multivariable systems in the Takagi-Sugeno form. Model-based means that the
multivariable control law is synthesized based on a given mathematical process
model and a formal description of the desired control properties. Examined are
two methods in which the desired characteristics of the control loop are specified
by either a parameterized pole region or a closed-loop reference model,
which results in different LMI formulations. In particular, the various LMIbased
criteria are discussed, and an illustrative example demonstrates their
applicability.
Schulte, H. 2022. Comparison between Pole Region Designand Model Reference Control forMultivariable TS Fuzzy Systems. In: Schulte, H et al (eds.), Proceedings – 32. Workshop Computational Intelligence: Berlin, 1. – 2. Dezember 2022. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.58895/ksp/1000151141-17
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Veröffentlicht am 20. November 2022