.png){kind=icon}
返回
Feedback linearization control of a two-link robot using a multi-crossover genetic algorithm
.png){kind=icon}
PRE
AI
DOI：10.1016/j.eswa.2008.01.048.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, we propose a novel multi-crossover genetic algorithm (GA) to identify the system parameters of a two-link robot. The resulted system model by the proposed GA is then applied to the feedback linearization control such that the two-link robot system call be transferred to a linear model with a nonlinear bounded time-varying uncertainty. To deal with the uncertainty, a sliding mode control approach is designed to achieve the tracking control. Finally, sonic simulation results are demonstrated to show the utility of our proposed method. (C) 2008 Elsevier Ltd. All rights reserved.
Keyword:
Multiple-crossovers
Two-link robot
Parameters estimation
Feedback linearization
Sliding mode control
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.5
论文数:
3.0W
被引数:
10.2W
机构
引用论文
Design of two-dimensional FIR digital filters for sampling structure conversion by genetic algorithm approach.png)
SIGNAL PROCESSING
SIGNAL PROCESSINGIF3.6
PREAI
分享收藏Complex genetic algorithm approach for designing equiripple complex FIR digital filters with weighting functionSIGNAL PROCESSING
SIGNAL PROCESSINGIF3.6
PREAI
分享收藏分享收藏
查看更多内容