Command Filtering-Based Fuzzy Control for Nonlinear Systems With Saturation Input

In this paper, command filtering-based fuzzy control is designed for uncertain multi-input multioutput (MIMO) nonlinear systems with saturation nonlinearity input. First, the command filtering method is employed to deal with the explosion of complexity caused by the derivative of virtual controllers...

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Bibliographic Details
Published inIEEE transactions on cybernetics Vol. 47; no. 9; pp. 2472 - 2479
Main Authors Yu, Jinpeng, Shi, Peng, Dong, Wenjie, Lin, Chong
Format Journal Article
LanguageEnglish
Published United States IEEE 01.09.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptive systems
Artificial neural networks
Backstepping
command filtering
Control systems
Error compensation
Filtration
fuzzy adaptive control
Fuzzy control
Fuzzy logic
Fuzzy systems
MIMO
MIMO (control systems)
Nonlinear control
nonlinear system
Nonlinear systems
Nonlinearity
Saturation
System effectiveness
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Summary:In this paper, command filtering-based fuzzy control is designed for uncertain multi-input multioutput (MIMO) nonlinear systems with saturation nonlinearity input. First, the command filtering method is employed to deal with the explosion of complexity caused by the derivative of virtual controllers. Then, fuzzy logic systems are utilized to approximate the nonlinear functions of MIMO systems. Furthermore, error compensation mechanism is introduced to overcome the drawback of the dynamics surface approach. The developed method will guarantee all signals of the systems are bounded. The effectiveness and advantages of the theoretic result are obtained by a simulation example.
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ISSN:2168-2267
2168-2275
DOI:10.1109/TCYB.2016.2633367