摘要
针对闭环系统中时变状态空间模型和模态参数的辨识问题,提出一种递推辨识格式,将这种格式与递推子空间方法结合,得到一种辨识方法.该方法通过重建输入输出数据之间的关系,递推辨识得到闭环系统的时变状态空间模型和模态参数.算例研究了系统在模态参数突变和周期变化两种情况下的辨识问题,仿真结果表明,所提出算法能有效辨识线性时变反馈系统的状态空间模型和模态参数.
A recursive form for the identification of the time-varying state space model and modal parameter of closed-loop system is presented. The approach is derived from the recursive subspace method, and the state space model and modal parameters of closed-loop system are obtained recursively by reconstruct relation of input-output data. In numerical simulations, the parameter identification is studied by considering the cases of sudden change and periodical change of system, respectively. The simulation results show the effectiveness of the proposed approach for identifying state space model and modal parameters of the linear time-varying feedback system.
出处
《控制与决策》
EI
CSCD
北大核心
2016年第2期324-330,共7页
Control and Decision
基金
国家自然科学基金项目(11072044
11372056)
关键词
线性时变系统
模态参数辨识
递推子空间方法
输出反馈
状态空间模型
linear time-varying system
modal parameter identification
recursive subspace method
output feedback
state space model
