Showing papers by "Sauro Longhi published in 2001"
04 Dec 2001
TL;DR: The paper presents experiences in the development of remote laboratories at the Universities of Ancona and Lecce in Italy, aimed at supporting institutional education and the integration of the traditional classroom lectures with the experimental training.
Abstract: The paper presents experiences in the development of remote laboratories at the Universities of Ancona and Lecce in Italy, aimed at supporting institutional education. The remote laboratories provide remote access to a number of "virtual rooms" (containing physical processes) by a commercial Web browser. Different processes are connected to the remote laboratories: a fan and plate process, a robot manipulator, a tank process and a toy-helicopter. Students can use the laboratory for process identification and control, and experimental data files can be downloaded for further local processing. Software and hardware solutions used in the design of the remote laboratories are presented. The integration of the traditional classroom lectures with the experimental training is also discussed.
26 citations
08 Jul 2001
TL;DR: In this article, a radial basis function network (RBFN) is proposed to solve the tracking problem for mobile robots. But the proposed solutions are implemented on a PC-based control architecture for the real-time control of the LabMate mobile base and are compared with multilayer neural networks (MNN) based control schemes.
Abstract: Proposes a radial basis function network (RBFN) approach to the solution of the tracking problem for mobile robots. RBFN-based controllers are investigated in order to introduce some degree of robustness in the control system and to avoid the main disadvantage of multilayer neural networks (MNN) to be highly nonlinear in the parameters. The training of the nets and the control performances analysis have been done in a real experimental setup. The proposed solutions are implemented on a PC-based control architecture for the real-time control of the LabMate mobile base and are compared with MNN-based control schemes. The experimental results are satisfactory in terms of tracking errors and computational efforts.
19 citations
TL;DR: In this article, the multiple models control problem of an underwater vehicle used in the exploitation of combustible gas deposits at great water depths is investigated, and the results of this analysis produce a significative estimation of the parameters variability of the considered class of linear models.
5 citations
TL;DR: In this paper, the authors proposed a multiple models based control scheme for the solution of the tracking problem for mobile robots, which utilizes multiple models of the robot for its identification in an adaptive and learning control framework.
4 citations
Journal Article•
1 citations