@inproceedings{b47da9ba49664f9ca2a4452d49a0aa0e,
title = "A novel approach to modelling and exploiting uncertainty in stochastic control systems",
abstract = "We consider an inversion-based neurocontroller for solving control problems of uncertain nonlinear systems. Classical approaches do not use uncertainty information in the neural network models. In this paper we show how we can exploit knowledge of this uncertainty to our advantage by developing a novel robust inverse control method. Simulations on a nonlinear uncertain second order system illustrate the approach.",
keywords = "neurocontroller, nonlinear systems, neural network models, inverse control method, Simulations",
author = "Randa Herzallah and David Lowe",
year = "2002",
month = jan,
day = "1",
doi = "10.1007/3-540-46084-5_130",
language = "English",
isbn = "978-3-540-44074-1",
series = "Lecture notes in computer science",
publisher = "Springer",
pages = "801--806",
editor = "Dorronsoro, {Jos{\'e} R.}",
booktitle = "Artificial neural networks — ICANN 2002",
address = "Germany",
note = "Artificial Neural Networks 2002, ICANN 2002 ; Conference date: 28-08-2002 Through 30-08-2002",
}