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

Research output: Contribution to conference › Paper › peer-review

Abstract

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.

Original language	English
Pages	88-93
Number of pages	6
Publication status	Published - 2002 Jan 1
Externally published	Yes
Event	Proceedings of the 2002 IEEE International Conference on Control Applications - Glasgow, United Kingdom Duration: 2002 Sep 18 → 2002 Sep 20

Conference

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

ASJC Scopus subject areas

Control and Systems Engineering

Access to Document

Fingerprint Dive into the research topics of 'State observer for a class of nonlinear systems and its application'. Together they form a unique fingerprint.

Cite this

@conference{6058f292f0044b4abc9afeec3c685a84,

title = "State observer for a class of nonlinear systems and its application",

abstract = "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.",

author = "Xinkai Chen and Guisheng Zhai",

year = "2002",

month = jan,

day = "1",

language = "English",

pages = "88--93",

note = "Proceedings of the 2002 IEEE International Conference on Control Applications ; Conference date: 18-09-2002 Through 20-09-2002",

}

TY - CONF

T1 - State observer for a class of nonlinear systems and its application

AU - Chen, Xinkai

AU - Zhai, Guisheng

PY - 2002/1/1

Y1 - 2002/1/1

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=0036030240&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036030240&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0036030240

SP - 88

EP - 93

T2 - Proceedings of the 2002 IEEE International Conference on Control Applications

Y2 - 18 September 2002 through 20 September 2002

ER -