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|Title:||Fuzzy adaptive control design and discretization for a class of nonlinear uncertain systems|
|Citation:||IEEE Transactions on Cybernetics, 2016; 46(6):1476-1483|
|Publisher:||Institute of Electrical and Electronics Engineers|
|Xudong Zhao, Peng Shi, and Xiaolong Zheng|
|Abstract:||In this paper, tracking control problems are investigated for a class of uncertain nonlinear systems in lower triangular form. First, a state-feedback controller is designed by using adaptive backstepping technique and the universal approximation ability of fuzzy logic systems. During the design procedure, a developed method with less computation is proposed by constructing one maximum adaptive parameter. Furthermore, adaptive controllers with nonsymmetric deadzone are also designed for the systems. Then, a sampled-data control scheme is presented to discretize the obtained continuous-time controller by using the forward Euler method. It is shown that both proposed continuous and discrete controllers can ensure that the system output tracks the target signal with a small bounded error and the other closedloop signals remain bounded. Two simulation examples are presented to verify the effectiveness and applicability of the proposed new design techniques.|
|Keywords:||Adaptive control; fuzzy approximator; nonlinear systems; sampled-data control|
|Rights:||© 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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