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|Title:||Command filtering-based fuzzy control for nonlinear systems with saturation input|
|Citation:||IEEE Transactions on Cybernetics, 2017; 47(9):2472-2479|
|Jinpeng Yu, Peng Shi, Wenjie Dong and Chong Lin|
|Abstract:||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.|
|Keywords:||Backstepping; command filtering; fuzzy adaptive control; nonlinear system|
|Rights:||© 2016 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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