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研究了基于积分最小二乘指标的SISO时滞系统频域辨识与频域模型降阶问题 .通过采用Pade近似 ,将积分最小二乘指标推广到可以处理时滞系统的情形 .深入分析了Pade近似所引入误差 ,揭示了采用Pade近似的可行性与有效性 .所提出的方法能够用最小二乘类算法高效求解 ,无须困难的非线性优化 .仿真验证了所提出方法的有效性
The frequency domain model identification and frequency domain model reduction of SISO system based on integral least square indicator are studied. By using Pade approximation, the integral least square indicator is generalized to the case that can deal with time-delay system. In-depth analysis of Pade approximation The introduced errors reveal the feasibility and effectiveness of using Pade approximation.The proposed method can be efficiently solved by the least squares algorithm without difficulty and nonlinear optimization.The simulation results show the effectiveness of the proposed method