Predictor-Based Self Tuning Control with Constraints

Vytautas Kaminskas (v.kaminskas@if.vdu.lt)
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Vytautas Kaminskas: Vytautas Magnus University

A chapter in Models and Algorithms for Global Optimization, 2007, pp 333-341 from Springer

Abstract: Summary Design problems of predictor-based self tuning digital control systems for different types of linear and non-linear dynamical plants are discussed. Control systems based on generalized minimum variance algorithms with amplitude and introduction rate restrictions for the control signal are considered in the article.

Keywords: predictor-based self tuning control; generalized minimum variance control; constraints for the control signal (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-0-387-36721-7_20

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DOI: 10.1007/978-0-387-36721-7_20

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