State observer for a class of nonlinear systems and its application to machine vision

Xinkai Chen, Hiroyuki Kano

研究成果: Article

73 引用 (Scopus)

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In this note, we consider the state observer problem for a class of nonlinear systems which are usually encountered in the machine vision study. The formulation of the state observer is motivated by the sliding mode methods and adaptive control techniques. The proposed observer is applied to the identification problems of the motion parameters and space position of a moving object by using the perspective observation of a single point. It is clarified that the rotation parameters can be observed by using the observation of one camera, and the position and translation parameters cannot be observed by using one camera and must appeal to stereo vision. Simulation results show that the proposed algorithm is effective.

元の言語English
ページ(範囲)2085-2091
ページ数7
ジャーナルIEEE Transactions on Automatic Control
49
発行部数11
DOI
出版物ステータスPublished - 2004 11 1

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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