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 |
|---|---|
| Title of host publication | IEEE Conference on Control Applications - Proceedings |
| Pages | 88-93 |
| Number of pages | 6 |
| Volume | 1 |
| Publication status | Published - 2002 |
| Externally published | Yes |
| Event | Proceedings of the 2002 IEEE International Conference on Control Applications - Glasgow Duration: 2002 Sep 18 → 2002 Sep 20 |
Other
| Other | Proceedings of the 2002 IEEE International Conference on Control Applications |
|---|---|
| City | Glasgow |
| Period | 02/9/18 → 02/9/20 |
Fingerprint
ASJC Scopus subject areas
- Control and Systems Engineering
Cite this
State observer for a class of nonlinear systems and its application. / Chen, Xinkai; Zhai, Guisheng.
IEEE Conference on Control Applications - Proceedings. Vol. 1 2002. p. 88-93.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - State observer for a class of nonlinear systems and its application
AU - Chen, Xinkai
AU - Zhai, Guisheng
PY - 2002
Y1 - 2002
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 - Conference contribution
AN - SCOPUS:0036030240
VL - 1
SP - 88
EP - 93
BT - IEEE Conference on Control Applications - Proceedings
ER -