System identification for a general class of observable and reachable bilinear systems-Reference-Cited by-同舟云学术

System identification for a general class of observable and reachable bilinear systems

Published:2013-04-12 Issue:10 Volume:20 Page:1538-1551
ISSN:1077-5463
Container-title:Journal of Vibration and Control
language:en
Short-container-title:Journal of Vibration and Control

Author:

Lee Cheh-Han¹,Juang Jer-Nan¹²

Affiliation:

1. Department of Engineering Science, National Cheng Kung University, Taiwan

2. Aerospace Engineering Department, Texas A & M University, USA

Abstract

A novel method is developed incorporating a special input sequence for a general class of observable and reachable bilinear system identification. An order reduction scheme is introduced to determine the system matrices. This method makes a significant improvement to its predecessors by removing the observability requirement for the linear part of the bilinear systems. Numerical examples are given to demonstrate the method developed in this paper.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Mechanics of Materials,Aerospace Engineering,Automotive Engineering,General Materials Science

Link

http://journals.sagepub.com/doi/pdf/10.1177/1077546312473768

Reference27 articles.

1. Lie Algebras and Lie Groups in Control Theory

2. Bilinear systems: An appealing class of "nearly linear" systems in theory and applications

3. Bilinear Systems

4. Experimental Identification of Nonlinearities under Free and Forced Vibration using the Hilbert Transform

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Experimental modal analysis of a single-link flexible robotic manipulator with curved geometry using applied system identification methods;Mechanical Systems and Signal Processing;2023-10

2. Hedge-Algebras-Based Controller for Mechanisms of Relative Manipulation;International Journal of Precision Engineering and Manufacturing;2018-03

3. Recursive parameter identification of the dynamical models for bilinear state space systems;Nonlinear Dynamics;2017-06-15

4. Optimal bilinear observers for bilinear state-space models by interaction matrices;International Journal of Control;2015-02-11