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
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;
Conference_Titel :
Systems, Signals and Devices (SSD), 2011 8th International Multi-Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4577-0413-0
DOI :
10.1109/SSD.2011.5767382
