用于控制非线性系统的人工智能

A. Nawrocka, M. Nawrocki, A. Kot
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引用次数: 0

摘要

本文的目的是确定在机器人手臂鲁棒控制中使用人工神经网络是否是一种可行的解决方案。本研究的结果可以作为参考,如果这样的解决方案将在实际应用中使用。受控植物是一个双臂机械臂,使用Simscape环境进行建模。神经网络被用作植物模型,因为试图用数学方程来实现非线性系统的高质量模型不仅耗时而且非常困难,有时甚至是不可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence Used to Control Non-linear Systems
The aim of this paper is to establish the whether usage of artificial neural networks in robust robot arm control is a viable solution. The result of this study can be used later as a reference if such a solution would be used in a practical application. Controlled plant, which was a two arm robotic arm, was modelled using Simscape environment. Neural networks were utilized as a plant model, as trying to achieve a quality model of non-linear systems using a math equations is not only time consuming and very tough but sometimes even impossible.
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