arrow
返回

Continuous-time bilinear system identification

delete2005-01-01
delete40
delete
OA
AI
J
Jer-Nan Juang *
DOI:10.1007/s11071-005-1915-zdelete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
The objective of this paper is to describe a new method for identification of a continuous-time multi-input and multi-output bilinear system. The approach is to make judicious use of the linear-model properties of the bilinear system when subjected to a constant input. Two steps are required in the identification process. The first step is to use a set of pulse responses resulting from a constant input of one sample period to identify the state matrix, the output matrix, and the direct transmission matrix. The second step is to use another set of pulse responses with the same constant input over multiple sample periods to identify the input matrix and the coefficient matrices associated with the coupling terms between the state and the inputs. Numerical examples are given to illustrate the concept and the computational algorithm for the identification method.
Keyword:
bilinear system
Markov parameters
nonlinear system
system identification
system realization

期刊

Nonlinear Dynamics 封面图
Nonlinear Dynamics
IF:
6
论文数:
1.4W
被引数:
4.1W

机构

暂无机构信息
引用论文

引用论文

Deuterium and tritium labeling with the zinc-sodium iodide method
err2002-05-01
err0
PREAI
errFrantisek Turecek; Karel Veres; Pavel Kocovsky; Vladimir Pouzar; Jan Fajkos
err分享
err收藏
Deregulation of H3K27 methylation in cancer
err2010-02-01
err0
PREAI
errEva Martinez-Garcia; Jonathan D Licht
err分享
err收藏
Scaling in Colloidal and Biological Networks
err2020-06-04
err0
errOAAI
errMichael Nosonovsky; Prosun Roy
err分享
err收藏
学者 查看更多内容