Practical issues in the implementation of predictor-based self-tuning control systems

Article type: Research Article

Authors: Kaminskas, Vytautas | Janickienė, Danguolė | Šidlauskas, Kęstutis | Vitkutė, Daiva

Affiliations: Scientific Centre “Informatika”, Vytautas Magnus University, Aukštadvario 3, 3035 Kaunas, Lithuania

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.

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

DOI: 10.3233/INF-1993-41-201

Journal: Informatica, vol. 4, no. 1-2, pp. 3-20, 1993