• DocumentCode
    3252865
  • Title

    LMIs, interior point methods, complexity theory, and robustness analysis

  • Author

    Mesbahi, Mehran ; Papavassilopoulos, George P.

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    4
  • fYear
    1996
  • fDate
    11-13 Dec 1996
  • Firstpage
    4625
  • Abstract
    Let δΣ be a measure of the relative stability of a stable dynamical system Σ. Let τA(Σ) be a measure of the computational efficiency of a particular algorithm A which verifies the stability property of Σ. For two representative cases of Σ, we demonstrate the existence of a particular measure δΣ and an algorithm A such that, δΣτA(Σ)=c where c depends possibly on the dimension of the system Σ and parameters which are specific to the algorithm A, but independent of any other system characteristics. In particular, given Σ and A, one can estimate δΣ by measuring τA(Σ)
  • Keywords
    Lyapunov matrix equations; computational complexity; linear systems; robust control; LMI; Lyapunov equation; complexity theory; computational efficiency; interior point methods; linear systems; matrix; relative stability; robustness analysis; stable dynamical system; system characteristics; Algorithm design and analysis; Complexity theory; Computational efficiency; Control systems; Particle measurements; Q measurement; Robust control; Robust stability; Robustness; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
  • Conference_Location
    Kobe
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-3590-2
  • Type

    conf

  • DOI
    10.1109/CDC.1996.577603
  • Filename
    577603