计算机应用与软件2011，Vol.28Issue(2)：184-188,5.
一种无外部持续激励的子空间闭环辨识算法
AN ALGORITHM OF CLOSED-LOOP IDENTIFICATION WITHOUT INCESSANT EXTERNAL EXCITATION FOR SUBSPACE
邬芬 1杨马英 1田保林 1王海波1
作者信息
- 1. 浙江工业大学信息工程学院,浙江,杭州,310023
- 折叠
摘要
Abstract
The identifiability of traditional closed-loop system is restricted by external excitation and controller' s structure. However in actual identifying applications,it is undesired to have consecutive excitation due to process operation conditions or economic limits. In this paper we discuss the identifiability of closed-loop without external excitation for fast-sampling-based multi-variable subspace model and propose a new identification method for closed-loop fast-sampling subspace model in condition of without the consecutive external excitation.While the system is in circumstance that the identifiability condition of conventional sampling is unsatisfied or partly satisfied, the identification of the object model can be implemented by fast-sampling the input and output variables of controlled object of closed-loop. Simulation example attested the validity of the proposed method.关键词
系统激励/子空间辨识/快采样方法/闭环辨识引用本文复制引用
邬芬,杨马英,田保林,王海波..一种无外部持续激励的子空间闭环辨识算法[J].计算机应用与软件,2011,28(2):184-188,5.
