DocumentCode :
1271185
Title :
A new state observer for perspective systems
Author :
Chen, Xinkai ; Kano, Hiroyuki
Author_Institution :
Dept. of Intelligent Mech., Kinki Univ., Wakayama, Japan
Volume :
47
Issue :
4
fYear :
2002
fDate :
4/1/2002 12:00:00 AM
Firstpage :
658
Lastpage :
663
Abstract :
In this note, we consider the problem of estimating the state of a class of perspective systems. The problem can be converted into the observation of a dynamical system with nonlinearities. A new discontinuous state observer, which is motivated by the sliding mode control method and adaptive techniques, is proposed for the obtained dynamical system. The assumptions are reasonable, and the convergence conditions are intuitive and have apparently physical interpretations. The attraction of the new method is that the algorithm is very simple and easy to be implemented, and it is robust to measurement noises. Further, minor a priori knowledge of the system is required in the new formulation. Simulation results show the superiority of the new method to the traditional ones
Keywords :
computer vision; convergence; nonlinear dynamical systems; observers; variable structure systems; adaptive techniques; convergence conditions; discontinuous state observer; machine vision; measurement noise robustness; nonlinear dynamical system; nonlinear observer; nonlinear system identification; perspective systems; sliding mode control method; state estimation; state observer; Assembly; Automata; Automatic control; Control system synthesis; Costs; Joining processes; Process control; Robust control; Robustness; Sufficient conditions;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/9.995045
Filename :
995045
Link To Document :
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