Fuzzy-Modeled Prescribed Performance Integral Controller Design for Nonlinear Descriptor System With Uncertainties

Fuzzy-Modeled Prescribed Performance Integral Controller Design for Nonlinear Descriptor System With Uncertainties

A suitable solution for a nonlinear descriptor system with uncertainties is considered in this paper by designing a fuzzy-modeled prescribed performance integral controller. The system with a parasitic parameter $\varepsilon $ is known as the descriptor system, and this parasitic parameter is used f...

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Bibliographic Details
Main Authors: Chonnikarn Vorrawan, Wudhichai Assawinchaichote, Yan Shi, Xiaojie Su
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">H</italic>∞ fuzzy controller
integral controller
linear matrix inequality (LMI)
Takagi-Sugeno fuzzy model
uncertain nonlinear descriptor system
Online Access:https://ieeexplore.ieee.org/document/9090826/

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https://ieeexplore.ieee.org/document/9090826/

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