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Discrete-time iterative learning control for relative degree systems: A 2-D approach

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Abstract

This paper is devoted to the two-dimensional (2-D) design problem that arises from discrete-time iterative learning control (ILC). For linear time-invariant (LTI) systems with well-defined relative degree, a unified ILC algorithm is considered which provides wider freedom for the updating law formation. It demonstrates that an appropriately defined variable, together with the tracking error, can be employed to establish the Roesser systems based 2-D description of the ILC process. This enables both asymptotic stability and monotonic convergence of the relative degree ILC systems to be achieved. In particular, conditions for the monotonic convergence are described in terms of linear matrix inequalities (LMIs), which directly give formulas for the updating law design.

Original languageEnglish
Title of host publicationProceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11
Pages110-113
Number of pages4
StatePublished - 2011
Event16th International Symposium on Artificial Life and Robotics, AROB '11 - Beppu, Oita, Japan
Duration: 27 Jan 201129 Jan 2011

Publication series

NameProceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11

Conference

Conference16th International Symposium on Artificial Life and Robotics, AROB '11
Country/TerritoryJapan
CityBeppu, Oita
Period27/01/1129/01/11

Keywords

  • Discrete-time iterative learning control
  • Linear matrix inequality
  • Monotonic convergence
  • Relative degree

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