State observer for a class of nonlinear systems and its application

Xinkai Chen; Guisheng Zhai

State observer for a class of nonlinear systems and its application

研究成果: Paper › 査読

抄録

In this paper, 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. Simulation results show the proposed observer is very effective.

本文言語	English
ページ	88-93
ページ数	6
出版ステータス	Published - 2002 1月 1
外部発表	はい
イベント	Proceedings of the 2002 IEEE International Conference on Control Applications - Glasgow, United Kingdom 継続期間: 2002 9月 18 → 2002 9月 20

Conference

Conference	Proceedings of the 2002 IEEE International Conference on Control Applications
国/地域	United Kingdom
City	Glasgow
Period	02/9/18 → 02/9/20

ASJC Scopus subject areas

制御およびシステム工学

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引用スタイル

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AB - In this paper, 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. Simulation results show the proposed observer is very effective.

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State observer for a class of nonlinear systems and its application

抄録

Conference

ASJC Scopus subject areas

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