自动化学报2017，Vol.43Issue(1)：101-113,13.DOI:10.16383/j.aas.2017.c150759
一类非线性离散时间动态系统的交替辨识算法及应用
Alternating Identification Algorithm and Its Application to a Class of Nonlinear Discrete-time Dynamical Systems
摘要
Abstract
The major operational indexes such as quality, efficiency, cost, energy and material consumptions in industrial process of product processing are closely related to the output of the process control system;their dynamic models between the operational indexes and the output of the process control system are often nonlinear and with unclear structure nature generally. Therefore, it is difficult to obtain an accurate model. However, the prediction of operational index is of great significance to the operational operations. In this paper, based upon the characteristic that complex industrial systems often work near an operating point, the dynamic model between the operational indexes and the output of the process control system is represented by a linear model plus a higher order nonlinear term (unmodeled dynamics). With the above development, an alternating identification algorithm which consists of improved projection algorithm for the linear model and an estimation algorithm for unmodeled dynamic are proposed. Finally, through simulation study and a power forecast experiment using real data of an electric-melting magnesia furnace, the effectiveness of the proposed algorithm is justified.关键词
复杂工业过程/监控系统/运行指标/交替辨识/神经网络Key words
Complex industrial process/monitoring system/operational indexes/alternating identification/neural net-works引用本文复制引用
张亚军,柴天佑,杨杰..一类非线性离散时间动态系统的交替辨识算法及应用[J].自动化学报,2017,43(1):101-113,13.基金项目
国家自然科学基金(61403071,61603168),中国博士后科学基金(2014M561246),教育部基本科研业务费培育种子基金(N140804001),辽宁省科技项目自然科学基金(2015020144)资助Supported by National Natural Science Foundation of China (61403071,61603168), China Postdoctoral Science Foundation (2014M561246), Fundamental Research Funds for the Seed Foundation (N140804001), Natural Science Foundation of Liaon-ing Province (2015020144) （61403071,61603168）
