Problem of on-line continuous-time estimation of parameters of polyharmonic function

被引：0
|
作者：
Bobtsov, A.A. [1 ]
Lyamin, A.V. [1 ]
机构：
[1] St.-Petersburg State Inst of Fine, Mechanics and Optics (Technical, Univ), St. Petersburg, Russia
来源：
International Conference on Control of Oscillations and Chaos, Proceedings | 2000年 / 02期
关键词：
Algorithms - Approximation theory - Learning systems - Mathematical models - Parameter estimation - Robotics;
D O I：
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中图分类号：
学科分类号：
摘要：
The problem of on-line continuous-time estimation of parameters of a polyharmonic function is considered. The problem given is a classical problem of systems theory which, when solved, can find wide practical application in self-learning of robotic systems and adaptive noise damping systems. Solution of this problem is based on a strategy of self-learning and an algorithm of the approximation of the unknown periodic functional dependencies. The analytical conditions of existence of the solution are presented.
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页码：388 / 389
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