• DocumentCode
    565299
  • Title

    Optimal control with stabilization for a class of hybrid dynamical systems

  • Author

    Liu, Bin ; Hill, David J. ; Dou, Chunxia

  • Author_Institution
    Res. Sch. of Eng., Australian Nat. Univ., Canberra, ACT, Australia
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    614
  • Lastpage
    619
  • Abstract
    This paper studies the optimal control with stabilization issue for a class of hybrid dynamical systems (HDS) with hybrid performance functional (HPF). By employing Lyapunov function method and the recent results of stability of HDS, the optimal control conditions for the HDS has been derived with respect to the HPF. Under the state feedback control, the closed-loop HDS is globally asymptotically stable (GAS) and at the same time the HPF can achieve the desirable maximal (minimal) value. The results are then used to study the case of linear HDS with hybrid quadratic performance functional (HQPF). The matrix inequality conditions are derived to design the linear feedback controller under which the closed-loop linear HDS is GAS and the HQPF is optimized. Finally, one example is given for illustration.
  • Keywords
    Lyapunov methods; asymptotic stability; closed loop systems; control system synthesis; linear matrix inequalities; linear systems; optimal control; state feedback; GAS; HDS stability; HPF; HQPF; Lyapunov function method; closed loop linear HDS; global asymptotic stability; hybrid dynamical systems; hybrid quadratic performance functional; linear HDS; linear feedback controller design; matrix inequality conditions; optimal control conditions; stabilization; state feedback control; Asymptotic stability; Educational institutions; Equations; Feedback control; Integrated circuits; Optimal control; Stability criteria; HDS; Optimal control; global asymptotic stability (GAS); hybrid performance functional (HPF);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6242978
  • Filename
    6242978