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Predictor-Based Self Tuning Control with Constraints

In: Models and Algorithms for Global Optimization

Author

Listed:
  • Vytautas Kaminskas

    (Vytautas Magnus University)

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.

Suggested Citation

  • Vytautas Kaminskas, 2007. "Predictor-Based Self Tuning Control with Constraints," Springer Optimization and Its Applications, in: Aimo Törn & Julius Žilinskas (ed.), Models and Algorithms for Global Optimization, pages 333-341, Springer.
    • Handle: RePEc:spr:spochp:978-0-387-36721-7_20
    DOI: 10.1007/978-0-387-36721-7_20
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