Design of a multivariable neural controller for control of a nonlinear MIMO plant

The paper presents the training problem of a set of neural nets to obtain a (gain-scheduling, adaptive) multivariable neural controller for control of a nonlinear MIMO dynamic process represented by a mathematical model of Low-Frequency (LF) motions of a drillship over the drilling point at the sea...

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Bibliographic Details
Main Authors: Bańka Stanisław, Dworak Paweł, Jaroszewski Krzysztof
Format: Article
Language:English
Published: Sciendo 2014-06-01
Series:International Journal of Applied Mathematics and Computer Science
Subjects:
Online Access:https://doi.org/10.2478/amcs-2014-0027