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 |
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| 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
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Cite this
Chen, X., & Zhai, G. (2002). State observer for a class of nonlinear systems and its application. 88-93. Paper presented at Proceedings of the 2002 IEEE International Conference on Control Applications, Glasgow, United Kingdom.