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本文给出一个由闭环数据辨识状态空间模型的算法．此算法可辨识带有严重噪声干扰和延迟的稳定及不稳定系统，并已为数学理论及实验结果所验证
This paper presents an algorithm for identifying state-space models from closed-loop data. This algorithm identifies stable and unstable systems with severe noise disturbances and delays and has been validated by mathematical theory and experimental results