DocumentCode
3137941
Title
Neural modeling and generalizing model of a wheelchair-like mobile robot
Author
Chamkhia, Amira ; Chatti, Abderrazak
Author_Institution
Centre Urbain Nord, Inst. Nat. des Sci. Appl. et de Technol. (INSAT), Tunis, Tunisia
fYear
2011
fDate
22-25 March 2011
Firstpage
1
Lastpage
7
Abstract
In this paper, we present the principal techniques of modeling a wheelchair like mobile robot by neural network. Direct and inverse neural models are elaborated with the consideration of complex, non-linear and non-holonomic system. Our aim is to obtain the perfect model, by generalizing the model, to use it later for control. One will describe the steps to model the system by neural networks.
Keywords
generalisation (artificial intelligence); mobile robots; neurocontrollers; nonlinear control systems; complex system; direct neural model; generalization model; inverse neural model; neural model; nonholonomic system; nonlinear system; wheelchair-like mobile robot; Artificial neural networks; Biological neural networks; Mathematical model; Mobile robots; Predictive models; Training; Wheels; Artificial Neural Network; Multilayer neural network; generalization; mobile robots; modeling; non-holonomic system;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Signals and Devices (SSD), 2011 8th International Multi-Conference on
Conference_Location
Sousse
Print_ISBN
978-1-4577-0413-0
Type
conf
DOI
10.1109/SSD.2011.5767382
Filename
5767382
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