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一种新的遗传算法及其在机器人变结构控制中的应用
引用本文:王建平,许春山,孙兴进,赵锡芳. 一种新的遗传算法及其在机器人变结构控制中的应用[J]. 上海大学学报(英文版), 2005, 9(3): 255-260. DOI: 10.1007/s11741-005-0089-8
作者姓名:王建平  许春山  孙兴进  赵锡芳
作者单位:[1]InstituteofRoboticsResearch,ShanghaiJiaotongUniversity,Shanghai200030,P.R.China [2]FuelCellInstitute,ShanghaiJiaotongUniversity,Shanghai200030,P.R.China
基金项目:NationalHighTechnologyResearchandDevelopmentProgram(GrantNo.863-5120302)
摘    要:
A novel genetic algorithm (NGA) is proposed, which possesses micro-regulation and renascence operation. The optimized variable searching interval is regulated gradually according to the sub-group of excellent individuals. The NGA is used to optimize the parameters of the variable structure control (VSC), which satisfies the new reaching law and sliding mode. It is used in robot control systems. Simulation results are given.

关 键 词:机器人 变量控制 遗传算法 优化设计
收稿时间:2003-10-22

A novel genetic algorithm and its application in variable structure control of robot
Wang Jian-ping,Xu Chun-shan,Sun Xing-jin,Zhao Xi-fang. A novel genetic algorithm and its application in variable structure control of robot[J]. Journal of Shanghai University(English Edition), 2005, 9(3): 255-260. DOI: 10.1007/s11741-005-0089-8
Authors:Wang Jian-ping  Xu Chun-shan  Sun Xing-jin  Zhao Xi-fang
Affiliation:1. Institute of Robotics Research, Shanghai Jiaotong University, Shanghai 200030, P.R. China
2. Fuel Cell Institute, Shanghai Jiaotong University, Shanghai 200030, P.R. China
Abstract:
A novel genetic algorithm (NGA) is proposed, which possesses micro-regulation and renascence operation. The optimized variable searching interval is regulated gradually according to the sub-group of excellent individuals. The NGA is used to optimize the parameters of the variable structure control (VSC), which satisfies the new reaching law and sliding mode. It is used in robot control systems. Simulation results are given.
Keywords:genetic algorithms   variable structure control (VSC)   reaching law   sliding mode   robot.
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