• DocumentCode
    945787
  • Title

    Partitioning: A unifying framework for adaptive systems, II: Control

  • Author

    Lainiotis, Demetrios G.

  • Author_Institution
    State University of New York at Buffalo, Amherst, NY
  • Volume
    64
  • Issue
    8
  • fYear
    1976
  • Firstpage
    1182
  • Lastpage
    1198
  • Abstract
    In this paper, partitioning and the associated partitioned adaptive control algorithms are shown to constitute a unifying framework for adaptive control. Moreover, the partitioned adaptive controls (PAC´s) are shown to have several interesting properties as well as a decoupled parallel-processing structure that is computationally attractive. Finally, using the partitioning framework and a related general class of PAC´s the adaptive control problem is treated from a global viewpoint that unifies seemingly unrelated previously obtained suboptimal adaptive controls, and, most importantly, yields fundamentally new adaptive control algorithms. These new control algorithms are shown to have several important properties from both a theoretical and a realization or computational standpoint.
  • Keywords
    Adaptive control; Adaptive systems; Constraint optimization; Control systems; Design optimization; Mathematical model; Optimal control; Partitioning algorithms; Programmable control; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/PROC.1976.10289
  • Filename
    1454558