Neural modeling and generalizing model of a wheelchair-like mobile robot

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.