Approaches to quadratic stabilization of uncertain fuzzy dynamic systems

Gang Feng

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Approaches to quadratic stabilization of uncertain fuzzy dynamic systems

机译：不确定模糊动态系统的二次稳定方法

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摘要

A new approach to quadratic stabilization of uncertain fuzzy dynamic systems is developed in this paper. This uncertain fuzzy dynamic model is used to represent a class of uncertain continuous time complex nonlinear systems which include both linguistic information and system uncertainties. It is shown that the uncertain fuzzy dynamic system can be stabilized if a suitable Riccati equation or a set of Riccati equations has solutions. Constructive algorithms are also developed to obtain the stabilization feedback control laws. Finally, an example is given to illustrate the application of the proposed method.

机译：该文提出了一种不确定模糊动态系统的二次稳定新方法。这种不确定的模糊动态模型用于表示一类不确定的连续时间复杂非线性系统，其中包括语言信息和系统不确定性。结果表明，如果一个合适的里卡蒂方程或一组里卡蒂方程有解，则不确定模糊动力学系统可以稳定。此外，还开发了构造算法来获得稳定反馈控制规律。最后，通过算例说明了所提方法的应用。

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来源
《IEEE Transactions on Automatic Control》 |2001年第6期|760-769|共10页
作者
Gang Feng;
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作者单位

alliativecare.org;

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原文格式 PDF
正文语种英语
中图分类自动化系统;
关键词
Fuzzy control; Fuzzy systems; Fuzzy uncertain systems; Quadratic stabilization;

机译：模糊控制;模糊系统;模糊不确定系统;二次稳定;

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Approaches to quadratic stabilization of uncertain fuzzy dynamic systems

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