The on-line identification algorithm can identify the nonlinear restoring force and the changes in structural parameters in real time.
在线识别算法可以实时地识别出结构非线性回复力和结构参数的变化。
The algorithm is computationally efficient and is used for on-line identification.
该算法计算量小，且可用于在线辨识。
Also application of the algorithm to on-line system identification was discussed.
并讨论了该算法在在线系统辨识中的应用。
This paper presents a recursive parameter identification algorithm for the system. Compared with the iterative algorithm, it can avoid the matrix inversion and can be operated on-line.
本文给出这类系统的参数递推辨识算法，克服了迭代算法不能在线运行、需反复矩阵求逆的不足。
This paper presents a recursive parameter identification algorithm for the system. Compared with the iterative algorithm, it can avoid the matrix inversion and can be operated on-line.
本文给出这类系统的参数递推辨识算法，克服了迭代算法不能在线运行、需反复矩阵求逆的不足。
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