A method for finding the optimal control problems governed by linear parabolic equations using Legendre series is discussed. The optimal control of the one-dimensional diffusion equation is simplified into optimal control of linear system with a quadratic cost functional. The state variable,...

In this paper the problem of the motion control of a two-joint planar robot with a flexible link is considered. The model of the robot is developed by using a simplified finite element technique referring to the elastic link. The sliding mode technique is considered. Two sliding surfaces are...

Two problems occur in the design of feedforward neural networks: the choice of the optimal architecture and the initialization. Generally, input and output data of a system (or a function) are measured and recorded. Then, experimenters wish to design a neural network to map exactly these output...

Artificial neural networks (ANNs) are widely used for classification tasks where discriminant cues and also contextual parameters are proposed as ANN inputs. When the input space is too large to enable a robust, time limited learning, a classical solution consists in designing a set of ANNs for...

ProLab2 is a driving assistance system. In order to be efficient, it must get real time properties. Its goal is to diagnose the situation according to the information coming from the perception systems. To make this work efficient, the presentation of the data is very important. Thus, the...

The paper presents a software environment to model and simulate non-rigid materials behaviour during handling operations according to their physical properties (e.g. stiffness), and to detect undesirable deformations (e.g., material breakage).

In this paper, first we present different curves used in path generation. We show the advantages and drawbacks of each curve. Next, we propose a method of calculation of a complex smooth path. This smooth path minimizes the integral-square-jerk. Finally, we introduce a variable velocity along...

A model concept has been developed and described in which a physical model is linked with a mathematical identification procedure to model the micro-environment (temperature and mass concentration) within an imperfectly mixed fluid (a ventilated space). The objective of this paper is to explain...

A methodology using image processing to detect vehicles on highways is presented in this paper. Vehicle detection is done in two stages. In stage one, the dimensional and morphological study of the analyzed highway is carried out in order to model and calibrate the vision system. In stage two,...