• DocumentCode
    337103
  • Title

    Convex ℒ2 synthesis for multidimensional systems

  • Author

    D´Andrea, Raffaello ; Dullerund, G.E. ; Lall, Sanjay

  • Author_Institution
    Cornell Univ., Ithaca, NY, USA
  • Volume
    2
  • fYear
    1998
  • fDate
    16-18 Dec 1998
  • Firstpage
    1883
  • Abstract
    Deals with the design of control systems for multidimensional systems in the Roesser state space format with an L2 induced gain performance criterion. The region of analyticity of the closed loop system can be pre-specified, corresponding to the relaxation of the standard causality requirement (or equivalently, stability requirement) found in ℋ optimization. These techniques may be used for designing spatially distributed controllers for spatially distributed systems. The main technical contribution of the paper is the extension of the synthesis results of Packard (1994) and of Apkarian and Gahinet (1995) to non-definite scalings. The solution to the problem takes the form of a linear matrix inequality
  • Keywords
    closed loop systems; control system analysis; control system synthesis; distributed parameter systems; matrix algebra; multidimensional systems; optimal control; state-space methods; ℒ2 induced gain performance criterion; Roesser state space format; causality requirement; convex ℒ2 synthesis; linear matrix inequality; multidimensional systems; region of analyticity; spatially distributed controllers; spatially distributed systems; stability requirement; Actuators; Control system synthesis; Control systems; Linear matrix inequalities; Mechanical sensors; Multidimensional systems; Optimal control; Sensor systems; Signal synthesis; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4394-8
  • Type

    conf

  • DOI
    10.1109/CDC.1998.758583
  • Filename
    758583