Application in the Acrobot systems of BPNN based on particle swarm optimization

被引：0
|
作者：
Hong Li [1 ]
Bing Zhang [1 ]
Yan Nie [1 ]
机构：
[1] Beijing Inst Machinery, Dept Comp & Automat, Beijing, Peoples R China
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7 | 2007年
关键词：
underactuated mechanical systems; Acrobot; BP neural network; particle swarm optimization;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Underactuated systems are the nonholonomic systems with fewer actuators than degrees of freedom. An equilibrium control strategy of BP network work and particle swarm optimization is presented in this paper, which is optimized online to obtain the parameter optimal values of equilibrium controller. The simulation results show that the proposed method can reduce the overshoot of system effective, shorten the period of the Acrobot from swing up to equilibrium state, and has the virtues of easily realization and small calculated amount.
引用
收藏
页码：1815 / 1818
页数：4
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