Discrete Data-Based State Feedback Model of Human Operator

摘要：

Modeling human operator’s dynamic characteristics has been an active research area for several decades. Previously the author has proposed data-based state feedback model (DBSFM) concept whose structure is based on the controlled system but the parameters can be identified from experimental data by using the frequency domain approach. This paper proposes a discrete version of DBSFM (DDBSFM) whose parameters can be effectively identified in the time domain using the gradient-based optimization algorithms. The method is implemented for identification of the dynamics of a human operator in trolley crane control.

作者: Kalevi Tervo

作者单位: Department of Automation and Systems Technology,Aalto University School of Science and Technology, P.O. Box 15500, FI-00076 Aalto, Finland

会议类型: 国际会议

会议名称: 2010 IEEE/ASME International Conference on Mechatronic and Embedded System and Applications(2010 IEEE 机电一体化和嵌入式系统与应用国际会议)

会议地点: 青岛

会议语种:英文

页码: 202-207

在线出版日期: 2010-07-15（万方平台首次上网日期，不代表论文的发表时间）