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Practical issues in the implementation of predictor-based self-tuning control systems
Volume 4, Issues 1-2 (1993), pp. 3–20
Vytautas Kaminskas   Danguolė Janickienė   Kęstutis Šidlauskas   Daiva Vitkutė  

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https://doi.org/10.3233/INF-1993-41-201
Pub. online: 1 January 1993      Type: Research Article     

Published
1 January 1993

Abstract

Design problems of predictor-based self-tuning digital control systems for different kinds of linear and non-linear dynamical plants are discussed. Special cases include linear plants with unstable and nonminimum-phase control channels, linear plants with inner feedbacks, nonlinear Hammerstein and Wiener-Hammerstein-type plants. Considered are control systems based on generalized minimum variance algorithms with amplitude and introduction rate restrictions for the control signal.

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Keywords
predictor-based self-tuning control generalized minimum variance control

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INFORMATICA

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