✦ LIBER ✦

Neural networks (methodologies for process modelling and control)

✍ Scribed by G.A. Montague; A.J. Morris; M.J. Willis

Publisher: Elsevier Science
Year: 1992
Weight: 765 KB
Volume: 17
Category: Article
ISSN: 0066-4138
DOI: 10.1016/s0066-4138(09)91009-6

No coin nor oath required. For personal study only.

✦ Synopsis

There are strong relationships between Artificial Neural Network and Radial Basis Function approaches to system modelling and representation. Indeed, the REF representat ion can be implemented in the form of a two-layered network. This paper reviews the contributions that these two approaches can make to the process modeIllng and control. The development of dynamic system representations .is then examined in order to provide a basis for predictive control. Two alternative network modelling philosophies are considered: a time series approach and a network structurewith embedded dynamics. Potential applications of the methods discussed are highlighted through studies of typical Industrial process controlproblems.

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