• DocumentCode
    3009611
  • Title

    Solving signal decoupling problems through self-bounded controlled invariants

  • Author

    Barbagli, Federico ; Marro, Giovanni ; Prattichizzo, Domenico

  • Author_Institution
    PERCRO, S. Anna, Italy
  • Volume
    5
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    4506
  • Abstract
    The paper deals with decoupling problems of unknown, measurable and previewed signals. First the well known solutions of unknown and measurable disturbance decoupling problems are recalled. Then new necessary and sufficient constructive conditions for the previewed signal decoupling problem are proposed. The discrete time case is considered. In this domain previewing a signal by p steps means that the k-th sample of the signal to be decoupled is known p steps in advance. The main result is to prove that the stability condition for all of the mentioned decoupling problems does not change, i.e. the resolving subspace to be stabilized is the same independently of the type of signal to be decoupled, being it completely unknown (disturbance), measured or previewed. The problem has been studied through self-bounded controlled invariants, thus minimizing the dimension of the resolving subspace which corresponds to the infimum of a lattice. Note that reduced dimension on resolving controlled invariant subspace yields to reduce the order of the controller units
  • Keywords
    discrete time systems; invariance; matrix algebra; set theory; signal sampling; stability; measurable signals; necessary and sufficient constructive conditions; previewed signals; self-bounded controlled invariants; signal decoupling problems; unknown signals; Lattices; Pi control; Signal resolution; Stability; State feedback; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-6638-7
  • Type

    conf

  • DOI
    10.1109/CDC.2001.914619
  • Filename
    914619