摘要
目的针对一类静态非线性增益具有原点对称特性的M ISO双线性Hammerstein模型,提出一种稳态与动态辨识相结合的集成辨识方法。方法利用稳态信息获取稳态模型的强一致性估计,并通过稳态模型获得非线性增益的估计,再利用动态信息辨识获取M ISO双线性Hammerstein模型的双线性系统未知参数的一致性估计。结果获得一类M ISO双线性Hammerstein模型的集成辨识方法,仿真结果表明了该方法的有效性和实用性。结论集成辨识方法可用于解决一类MISO双线性Hammerstein模型的辨识问题,易于实现。
Aim To infroduce an integrated identification for a class of MISO bilinear Hammerstein model which has method combined steady-state with dynamic identification charcteristic of static nonlinear gain zero point symmetry. Methods The strong consistent estimates of steady-state model are obtained by using steady-state data. The estimates of nonlinearity gain are obtained by using steady-state model. The consistent estimates of the bilinear unknown parameter of the MISO bilinear Hammerstein model are obtained by using dynamic data identification. Restilts An integrated identification method for a class of MISO bilinear Hammerstein model is obtained, The efficiency and applicability of this estimate technique is demonstrated by simulation results. Conclusion This methgds can be used to solve a class of MISO bilinear Hammerstein model. It can be easily popularized.
出处
《西北大学学报（自然科学版）》
CAS
CSCD
北大核心
2007年第1期37-40,共4页
Journal of Northwest University（Natural Science Edition）
基金
河南省重大科技攻关计划基金资助项目(0422020901)
河南省优秀中青年骨干教师基金资助项目
