Adaptive Neural Network Control of an Aerial Work Platform’s arm

	Adaptive Neural Network Control of an Aerial Work Platform’s arm
	Jia, Pengxiao; Li, En; Liang, Zize; Qiang, Yanhui; Pengxiao Jia; En Li; Zizhe Liang; Yanhui Qiang
	2012
会议名称	The 10th World Congress on Intelligent Control and Automation (WCICA)
会议录名称	Proceedings of the 10th World Congress on Intelligent Control and Automation (WCICA)
会议日期	2012
会议地点	Beijing
其他摘要	An aerial work platform (AWP) is a type of off highway vehicle with a long beam to provide temporary access to inaccessible areas [1]. The motivation of the research is to increase its productivity, safety and reduce the manipulation complexity during the operation process. In this paper, a simplified two-link model of AWP's arm is given. The control scheme based on neural network modeling technology is employed to steer the AWP's arm to track the desired trajectories asymptotically, which requires neither the evaluation of inverse dynamical model nor the time-consuming training process. The simulation results validate the effectiveness of the proposed approach.
关键词	Neural Networks Trajectory Adaptive Systems Adaptation Models Robots Mathematical Model Aerospace Electronics
收录类别	EI
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/11083
专题	复杂系统认知与决策实验室_先进机器人
通讯作者	Pengxiao Jia; En Li; Zizhe Liang; Yanhui Qiang
推荐引用方式 GB/T 7714	Jia, Pengxiao,Li, En,Liang, Zize,等. Adaptive Neural Network Control of an Aerial Work Platform’s arm[C],2012.

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