A sufficient stability condition for closed-loop control systems with fuzzy logic controllers

Kruglov VV; Uskov AA

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A sufficient stability condition for closed-loop control systems with fuzzy logic controllers

机译：具有模糊逻辑控制器的闭环控制系统的充分稳定性条件

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摘要

A new approach to the analysis of the stability of control systems with fuzzy logic controllers is proposed. The approach implies that the nonlinearity of a fuzzy inference unit is characterized by a single parameter, which makes it possible to determine stability for all systems belonging to a certain class.

机译：提出了一种利用模糊逻辑控制器分析控制系统稳定性的新方法。该方法意味着模糊推理单元的非线性由单个参数来表征，这使得有可能确定属于某个类别的所有系统的稳定性。

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来源
《Journal of Computer and Systems Sciences International》 |2004年第4期|p. 537-541|共5页
作者
Kruglov VV; Uskov AA;
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作者单位

Tech Univ, Moscow Power Engn Inst, Smolensk Branch, Smolensk, Russia;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
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1. A Sufficient Stability Condition for Closed-Loop Control Systems with Fuzzy Logic Controllers [J] . V. V. Kruglov, A. A. Uskov Journal of Computer and Systems Sciences International . 2004,第4期

机译：具有模糊逻辑控制器的闭环控制系统的充分稳定性条件
2. Sufficient conditions on fuzzy logic controllers as universalapproximators [J] . Chen Weitian IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics . 2001,第2期

机译：模糊逻辑控制器作为通用逼近器的充分条件
3. Control of nonlinear systems by alternative design of fuzzy logic controllers subject to Lyapunov stability theory [J] . Shun-Hung Tsai, Chin-Sheng Chen, Shih-Yu Li Advances in Mechanical Engineering . 2018,第6期

机译：基于Lyapunov稳定性理论的模糊控制器的替代设计对非线性系统的控制。
4. Sufficient Conditions for Absolute Stability and Optimization Using Genetic Algorithms of Specific Class Mamdani Fuzzy Logic State Variable Controllers [C] . Osmic Jakub, Prljaca Naser, Sehic Zenan Chinese Control Conference . 2008

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5. Implementation of a knowledge-based fuzzy logic controller and a fuzzy-sliding mode controller to control flexible robotic manipulators. [D] . Bazzi, Bilal A. 2004

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A sufficient stability condition for closed-loop control systems with fuzzy logic controllers

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