以两输入多率采样数据系统为例,推导了多率采样系统的离散时间状态空间模型,进一步导出了对应的离散系统传递函数模型。提出了这类多率系统的随机梯度辨识算法,通过仿真例子说明了算法的有效性。
The discrete-time state-space models and transfer functions for the multirate sampled-data systems with two inputs are derived and further a stochastic gradient identification algorithm is presented for such multirate systems.The simulation results show the effectiveness of the proposed algorithms.