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,
Computationally efficient nonlinear predictive control based on neural Wiener models
✍ Scribed by Maciej ławryńczuk
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 946 KB
- Volume
- 74
- Category
- Article
- ISSN
- 0925-2312
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