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Bayesian Model Learning Based on Predictive Entropy

✍ Scribed by Jukka Corander; Pekka Marttinen


Book ID
106389643
Publisher
Springer Netherlands
Year
2006
Tongue
English
Weight
240 KB
Volume
15
Category
Article
ISSN
0925-8531

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Model predictive control based on Wiener
✍ Sandra J. Norquay; Ahmet Palazoglu; JosΓ©A. Romagnoli πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 779 KB

Wiener models, consisting of a linear dynamic element followed in series by a static nonlinear element, are considered to be ideal for representing a wide range of nonlinear process behavior. They are relatively simple models requiring little more effort in development than a standard linear model,