一类新非线性控制方法：基于演算子理论的控制方法综述

温盛军; 毕淑慧; 邓明聪

doi:10.3724/SP.J.1004.2013.01812

一类新非线性控制方法：基于演算子理论的控制方法综述

doi: 10.3724/SP.J.1004.2013.01812

1.
中原工学院电子信息学院郑州 450007 中国;
2.
山东省科学院自动化研究所济南 250014 中国;
3.
国立东京农工大学电气电子工学科东京 184-8588 日本

基金项目:

国家自然科学基金(61074022,61203229),科技部国际科技合作与交流项目(2010DFA22770),山东省自然科学基金(ZR2012FQ022)资助

详细信息

作者简介:
温盛军中原工学院电子信息学院副教授. 主要研究方向为非线性系统辨识, 非线性控制. E-mail: wsj@zut.edu.cn

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- 文章访问数: 1944
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- 被引次数: 0
出版历程
- 收稿日期: 2013-07-01
- 修回日期: 2013-08-28
- 刊出日期: 2013-11-20

Survey of A New Nonlinear Control Technique： An Operator-based Approach

1.
Department of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China;
2.
Institute of Automation, Shandong Academy of Science, Jinan 250014, China;
3.
Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan

Funds:

Supported by National Natural Science Foundation of China (61074022, 61203229), Program for International Science Cooperation and Communication (2010DFA22770), Natural Science Foundation of Shandong Province (ZR2012FQ022)

摘要

摘要: 以基于演算子理论的鲁棒右互质分解 (Operator-based robust right coprime factorization, RRCF) 为基础, 提出了一种较新的非线性鲁棒控制方法.本文将简述此方法的概念、基本理论及其应用. 具体地说, 本文首先介绍此方法的起源与基本概念; 然后,讨论此方法在系统的鲁棒稳定性、输出跟踪与故障检测方面的设计等问题;最后,介绍此方法的实际应用从而进一步证明其有效性.
- 演算子理论 /
- 右互质分解 /
- 多变量 /
- 非线性系统 /
- 不确定性 /
- 鲁棒控制
Abstract: This paper introduces some concepts, theories and applications of operator-based robust right coprime factorization (RRCF) approach, which is a small new method in robust nonlinear control field. In details, the origin and basic concepts of this approach is introduced firstly. Then, the system designs on robust stability, tracking performance and fault detection using the operator-theory-based approach are discussed. Finally, the applications of this method in engineering are shown to validate its effectiveness.
- Operator theory /
- robust right coprime factorization (RRCF) /
- multi-input multi-output /
- nonlinear systemscontrol /
- uncertainty /
- robust control

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参考文献(25)

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