Direct Adaptive Neural Control Design for a Class of Nonlinear Multi Input Multi Output Systems
This paper proposes a direct adaptive neural control law for a class of affine nonlinear multi-input-multi-output (MIMO) systems of the form ẋ=f(x)+G(x)u using feedback linearization when both f(x) and G(x) are to be estimated. It is challenging to estimate f(x), a vector, and G(x), a ma...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8631034/ |