- Tytuł:
- Inversion of fuzzy neural networks for the reduction of noise in the control loop for automotive applications
- Autorzy:
-
Nentwig, M.
Mercorelli, P. - Powiązania:
- https://bibliotekanauki.pl/articles/384669.pdf
- Data publikacji:
- 2009
- Wydawca:
- Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
- Tematy:
-
neural networks
fuzzy control
inversion of neural networks
automotive control
noise reduction - Opis:
- A robust throttle valve control has been an attractive problem since throttle by wire systems were established in the mid-nineties. Control strategies often use a feed-forward controller which use an inverse model; however, mathematical model inversions imply a high order of differentiation of the state variables resulting in noise effects. In general, neural networks are a very effective and popular tool for modelling. The inversion of a neural network makes it possible to use these networks in control problem schemes. This paper presents a control strategy based upon an inversion of a feed-forward trained local linear model tree. The local linear model tree is realized through a fuzzy neural network. Simulated results from real data measurements are presented, and two control loops are explicitly compared.
- Źródło:
-
Journal of Automation Mobile Robotics and Intelligent Systems; 2009, 3, 3; 83-89
1897-8649
2080-2145 - Pojawia się w:
- Journal of Automation Mobile Robotics and Intelligent Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł