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Sub-optimal fuzzy logic continuous sliding mode tracking control

A novel sub-optimal control algorithm based on fuzzy logic system (FLS) to design continuous sliding mode control (CSMC) for uncertain nonlinear systems is presented. By means of combining a fuzzy logic system into sliding mode control, continuous sliding mode control (SMC) can be designed on the de...

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Main Authors: Yi Huang, Zhiwei Du, Xiaoyu Zhang, Yumin Pan
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Zhiwei Du
Xiaoyu Zhang
Yumin Pan
description A novel sub-optimal control algorithm based on fuzzy logic system (FLS) to design continuous sliding mode control (CSMC) for uncertain nonlinear systems is presented. By means of combining a fuzzy logic system into sliding mode control, continuous sliding mode control (SMC) can be designed on the derivative of the control signal. The realization of the controller is easier and more convenient than ever. The chattering phenomenon is eliminated. Finally the simulation results of a numerical example are proposed which validate the efficiency and the feasibility of the algorithm.
doi_str_mv 10.1109/FSKD.2010.5569370
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Algorithm design and analysis
Approximation methods
control
Equations
Fuzzy logic
Mathematical model
nonlinear system
Nonlinear systems
sliding mode
Sliding mode control
tracking
title Sub-optimal fuzzy logic continuous sliding mode tracking control
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