文献类型：期刊文献

英文题名：Suboptimal strong tracking filter based on nonlinear separation model approximation error upper bound and application

作者：Zhao, Zhong[1]; Guo, Lin[1]; Zhu, Li-Na[2]; Ikegami, Y.[3]; Nakamura, M.[3]

第一作者：Zhao, Zhong

通讯作者：Zhao, Z.

机构：[1] Beijing University of Chemical Technology, Beijing 100029, China; [2] Pingyuan University, Xinxiang 453003, China; [3] Saga University, Japan

第一机构：Beijing University of Chemical Technology, Beijing 100029, China

通讯机构：[1]Beijing University of Chemical Technology, Beijing 100029, China

年份：2007

卷号：28

期号：SUPPL. 1

起止页码：11-14

外文期刊名：Dongbei Daxue Xuebao/Journal of Northeastern University

收录：EI(收录号：20073410776336);Scopus(收录号：2-s2.0-34547988442)

语种：英文

外文关键词：Calculations - State estimation

摘要：State estimation for nonlinear dynamic process is a complex problem. In this paper, a method of design the sub-optimal strong tracking filter based on nonlinear separation model is proposed. By introducing the sub-optimal fading factor, the performance of traditional strong tracking filter for nonlinear dynamic process is improved. Since the model approximation error upper bound was included in the calculation of the sub-optimal fading factor, the proposed method is more robustious than the traditional strong tracking filter. The application result of the proposed method to the slurry blender has verified its feasibility and effectiveness.