@inproceedings{3d90f905bb04444a8be4787986a928a7,
title = "Comparison of model predictive control techniques for active suspension",
abstract = "This paper presents the develop and analysis of four control techniques implemented in an embedded system for an active suspension. The three techniques are based on model predictive control (MPC): The MPC off-line interpolation by piecewise affine systems (PWA), MPC neural network interpolation (NN), generalized model predictive control on-line (GMPC) and state space feedback (SSF). Finally, it is possible to reduce the necessary time to compute the control law with interpolating methods.",
keywords = "GMPC, PWA, Predictive control, active suspension, embedded control, neural networks, state feedback",
author = "German Montanez and Diego Patino and Diego Mendez",
note = "Publisher Copyright: {\textcopyright} 2015 University of West Bohemia.; 20th International Conference on Applied Electronics, AE 2015 ; Conference date: 08-09-2015 Through 09-09-2015",
year = "2015",
month = oct,
day = "19",
language = "English",
series = "International Conference on Applied Electronics",
publisher = "IEEE Computer Society",
pages = "157--160",
editor = "Jiri Pinker",
booktitle = "20th 2015 International Conference on Applied Electronics, AE 2015",
address = "United States",
}