State observer for a class of nonlinear systems and its application to machine vision

Xinkai Chen; Kano H.

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State observer for a class of nonlinear systems and its application to machine vision

机译：一类非线性系统的状态观测器及其在机器视觉中的应用

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In this note, 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 of a single point. It is clarified that the rotation parameters can be observed by using the observation of one camera, and the position and translation parameters cannot be observed by using one camera and must appeal to stereo vision. Simulation results show that the proposed algorithm is effective.

机译：在本说明中，我们考虑了机器视觉研究中通常遇到的一类非线性系统的状态观测器问题。状态观测器的制定是受滑模方法和自适应控制技术的推动。提出的观测器通过对单个点的透视观察，应用于运动物体的运动参数和空间位置的识别问题。明确了可以通过使用一台摄像机的观察来观察旋转参数，并且通过使用一台摄像机不能观察到位置和平移参数，并且必须吸引立体视觉。仿真结果表明该算法是有效的。

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《IEEE Transactions on Automatic Control》 |2004年第11期|p.2085-2091|共7页
作者
Xinkai Chen; Kano H.;
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正文语种 eng
中图分类自动化系统;
关键词
adaptive control; computer vision; nonlinear control systems; observers; variable structure systems; adaptive control; machine vision; nonlinear systems; perspective observation; sliding mode methods; state observer; 65; Machine vision; nonlinear system; perspective o;

机译：自适应控制;计算机视觉;非线性控制系统;观察者;可变结构系统;自适应控制;机器视觉;非线性系统;透视观察;滑模方法;状态观察器;65;机器视觉;非线性系统;透视;

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State observer for a class of nonlinear systems and its application to machine vision

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