标题： 基于循环重写系统的周期时变系统辨识 显示英文标题

标题： Cyclic Reformulation Based System Identification for Periodically Time-varying Systems

摘要： 本文研究了离散时间设定下线性周期时变系统的辨识问题。 基于循环系统及其状态坐标变换的周期化重写形式，介绍了一种用于线性周期时变系统的系统辨识算法。 利用本研究所提出的系统辨识算法，无需使用特定的周期输入信号即可获得周期时变系统的高精度模型。 通过数值实例验证了所提出算法的有效性。 显示英文摘要

摘要： This paper addresses a system identification for linear periodically time-varying plants in the discrete-time setting. A system identification algorithm for linear, periodically time-varying plants is introduced based on a cyclic reformulation and a state coordinate transformation of the cycled system. By using our system identification algorithm, the high-accuracy model of the periodically time-varying plant can be obtained without using specific periodic input signals. The effectiveness of the proposed algorithm is demonstrated with numerical examples.