S. Kukreja, B. Haverkamp, D. Westwick, R. Kearney, H. Galiana, M. Verhaegen
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引用次数: 5
摘要
给出了一种用状态空间方法对生物系统建模的新算法。MIMO输出错误状态空间识别(MOESP)系列算法之一(见M. Verhaegen和P. Dewilde, Int.)。《控制》,第55卷,第55期。5, p. 1187-1210, 1992)已被用于模拟人类踝关节力学的线性部分。计算了一个混合因果/反因果状态空间模型来检验扭矩与踝关节位置之间的关系。仿真数据和实际数据表明,该方法可以得到描述踝关节行为的参数模型和非参数模型。然而,采用MOESP识别方法得到的参数模型参数较少。
Subspace identification method for ankle mechanics
Presents results a new algorithm for modeling biological systems using a state space approach. One of the MIMO Output-Error State Space identification (MOESP) family of algorithms (see M. Verhaegen and P. Dewilde, Int. J. Control, vol. 55, no. 5, p. 1187-1210, 1992) has been adapted to model the linear part of human ankle mechanics. A mixed causal/anti-causal state space model was calculated to examine the relationship between torque and position of the ankle. Simulated and real data are used to show that the method yields parametric models for ankle mechanics that describe behavior as well as nonparametric models. However, the parametric models obtained using the MOESP identification method have many fewer parameters.