A complete nonlinear framework for the modelling and robust control of nonlinear systems is proposed. The use of neural networks for continuous time modelling to obtain a certain nonlinear canonical form is investigated. The model obtained is used with recently proposed dynamic sliding mode controll
β¦ LIBER β¦
Nonlinear adaptive model predictive control based on self-correcting neural network models
β Scribed by Alex Alexandridis; Haralambos Sarimveis
- Publisher
- American Institute of Chemical Engineers
- Year
- 2005
- Tongue
- English
- Weight
- 223 KB
- Volume
- 51
- Category
- Article
- ISSN
- 0001-1541
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