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Fuzzy Adaptive Control Design and Discretization for a Class of Nonlinear Uncertain Systems | IEEE Journals & Magazine | IEEE Xplore

Fuzzy Adaptive Control Design and Discretization for a Class of Nonlinear Uncertain Systems


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 desig...Show More

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 dead-zone 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 closed-loop signals remain bounded. Two simulation examples are presented to verify the effectiveness and applicability of the proposed new design techniques.
Published in: IEEE Transactions on Cybernetics ( Volume: 46, Issue: 6, June 2016)
Page(s): 1476 - 1483
Date of Publication: 17 July 2015

ISSN Information:

PubMed ID: 26208376

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