...等于αβ ’ ，为长期冲击矩阵(long-run impact matrix)， 反映出长期讯息；α称为调整系数矩阵 (adjustment coefficient matrix)，作为衡量误差修正项 反馈校正机能的强弱，当α愈大表示收敛的速度愈快；β则为共积向量。
基于6个网页-相关网页
模型的基础上，泰勒级数的系数调整控制功能的迭代学习法律，学习增益矩阵，通过LMI优化设计。
Based on the model, the Taylor series coefficients of control function are adjusted by an iterative learning law and the learning gain matrix is designed via LMI optimization.
该算法简化了投影系数矩阵的计算，调整了迭代算法逐线校正的迭代顺序。
This method proposes simplified computation of projection matrix and effectively adjusts the successive line iterative sequences.
应用推荐