摘要
针对一类具有相互关联非线性子系统的复杂系统，提出了一种稳态辨识与动态辨识相结合的集成辨识方法。利用稳态信息获取各子系统稳态模型（非线性增益）的强一致性估计，通过动态辨识得到各子系统线性部分的模型参数。仿真结果表明了该方法的有效性和实用性。
For a class of complex system with interconnected nonlinear subsystems, here is introduced an integrated identification method combining steady-state identification with dynamic identification. The strong consistent estimates of steady--state model(nonlinear gain)of subsystems are obtained by using steady-state data. The parameters of subsystem linear parts are obtained by using dynamic identification. The efficiency and applicability of this estimate technique are demonstrated by simulation results.
出处
《西北大学学报（自然科学版）》
CAS
CSCD
北大核心
1999年第6期467-470,共4页
Journal of Northwest University（Natural Science Edition）
基金
国家自然科学基金!69674003
关键词
复杂系统
集成辨识
非线性子系统
稳态辨识
complex system, integrated identification, interconnected nonlinear subsystem
