@inproceedings{3e8f221c253349c39750be09489acddd,
title = "Real-time application of a constrained predictive controller based on dynamic neural networks with feedback linearization",
abstract = "This paper describes an experimental application of constrained predictive control and feedback linearisation based on dynamic neural networks. It also verifies experimentally a method for handling input constraints, which are transformed by the feedback linearisation mappings. A performance comparison with a PID controller is also provided. The experimental system consists of a laboratory based single link manipulator arm, which is controlled in real time using MATLAB/SIMULINK together with data acquisition equipment.",
author = "Jiamei Deng and Victor Becerra and Richard Stobart and Shaohua Zhong",
year = "2011",
month = aug,
day = "1",
doi = "10.3182/20110828-6-IT-1002.00626",
language = "English",
isbn = "9783902661937",
series = "World congress",
publisher = "International Federation of Automatic Control (IFAC)",
number = "1",
pages = "6727--6732",
editor = "Sergio Bittanti and Angelo Cenedese and Sandro Zampieri",
booktitle = "18th IFAC World Congress, August 28 - September 2, 2011, Milano (Italy)",
}