Abstract
The controllers with interpolative blocks can replace fuzzy controllers in control structures. This is possible because fuzzy controllers belong also to the interpolative-type controller category, meaning controllers which implements interpolative-type reasoning. That kind of replacement is not only a formal operation; it is also associated with further corrections that confer to the structures with interpolative controllers enough flexibility to obtain better performances. The possibility of performances improvement on a flexible structure is the main argument of the present paper. Another argument is the reduced calculus time, suited for the real-time implementation - it’s about “look-up table” type solutions and the possibility to obtain simple controllers with robustness properties. In order to illustrate the above affirmations, two case studies are developed in the paper: an electromechanical ball and beam nonlinear system and a positioning system with Lyapunov constraints and state limitations.
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Dale, S., Dragomir, TL. (2009). Interpolative-Type Control Solutions. In: Balas, V.E., Fodor, J., Várkonyi-Kóczy, A.R. (eds) Soft Computing Based Modeling in Intelligent Systems. Studies in Computational Intelligence, vol 196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00448-3_9
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DOI: https://doi.org/10.1007/978-3-642-00448-3_9
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