Artificial Neural Networks for Modelling and Control of Non-Linear Systems
Published 1 January 1996
Johan A. K. Suykens, Joos Vandewalle, Bart L. R. De Moor
Citations412
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TL;DR
It turns out that NLq Theory is unifying with respect to many problems arising in neural networks, systems and control, and examples show that complex non-linear systems can be modelled and controlled within NLq theory, including mastering chaos.
Abstract
Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Among these properties are their u
Keywords
Computer Science