The following Scilab tutorials are developed as demonstration of Scilab capabilities. If you are interested in a specific toolbox or module for your engineering applications and would like us to develop a new tutorial about it, do not hesitate to contact us.

Description | Attachments | Date |
---|---|---|

## Scilab as a CalculatorThe purpose of this tutorial is to get started using Scilab as a basic calculator by discovering some predefined data types, functions and operations. |
June 7, 2013 | |

## First steps with ScilabThe purpose of this tutorial is to make the user comfortable with the Scilab software, introducing him/her the features and the potentialities of this program through the use of the main commands and windows. |
May 20, 2013 | |

## A Scilab data mining tutorial
The purpose of this tutorial is to show that Scilab can be considered as a powerful data mining tool, able to perform the widest possible range of important data mining tasks. |
April 15, 2013 | |

## Modeling an ODE: 3 different approachesIn these Scilab tutorials we show how to model a physical system described by ODEs. The reference model is the LHY model - Light users, Heavy users, memory of heavy users over Years. This model is described using: - Scilab
- Xcos
- Xcos + Modelica
Further source codes and Xcos schemes are available |
March 7, 2013 | |

## Numerical Analysis using Scilab
These tutorials are lectures notes on numerical analysis and they provide a collection of numerical examples and advises in Scilab. - Error Analysis and Propagation
- Numerical Stability and Conditioning
The source code for all the examples developed in Scilab is available |
March 5, 2013 | |

## Controller for an Inverted PendulumThis Scilab tutorial is dedicated to the study of a linear quadratic regulator for an inverted pendulum based on optimal control theory. In this tutorial the reader will learn how to develop a controller for an inverted pendulum starting from the equations of motion and how to use the animated plots in Scilab/Xcos
Source code described in this tutorial is available |
October 10, 2012 | |

## Solving Nonlinear Systems in ScilabIn this tutorial we show how nonlinear systems can be easily solved using Scilab. The reader will learn how to use the functions "fsolve" and "lsqrsolve".
Source code described in this tutorial is available |
June 11, 2012 | |

## Introduction to Control Systems in ScilabIn this Scilab tutorial, we introduce readers to the Control System Toolbox available in Scilab/Xcos and known as CACSD. This first tutorial is dedicated to "Linear Time Invariant" (LTI) systems and their representations in Scilab. An RLC example is used to explain state-space representation, transfer function, and the zero-pole representations. How to convert between representations and plot Bode and Nyquist diagram will be explained.
Source codes and Xcos schemes are available |
April 5, 2012 | |

## Surface Fitting? Do it with Scilab!In this paper we show how data fitting can be implemented in Scilab. We start from the simplest interpolation techniques, such as the polynomial fitting, then we describe more sophisticated methods, such as the radial basis functions, DACE or the neural networks. We provide a series of Scilab scripts which help the readers to build metamodels (a.k.a. response surfaces) starting from a list of data.
All files are available |
Available to Registered Users | April 3, 2012 |

## Data FittingIn this tutorial the reader can learn about data fitting, interpolation and approximation in Scilab. Interpolation is very important in industrial applications for data visualization and metamodeling. |
March 29, 2012 | |

## Multiobjective Optimization and Genetic AlgorithmsIn this Scilab tutorial we discuss about the importance of multiobjective optimization and we give an overview of all possible Pareto frontiers. After we show how to use the NSGA-II algorithm available in Scilab. |
March 12, 2012 | |

## Plotting in ScilabIn this Scilab tutorial we make a collection of the most important plots arising in scientific and engineering applications and we show how straightforward it is to create smart charts with Scilab. |
March 6, 2012 | |

## Create a Graphical User Interface (GUI) with ScilabIn this tutorial we show how to create a Graphical User Interface (GUI) in Scilab for an ODE problem. The adopted problem is the LHY model already used in other tutorials. |
February 28, 2012 | |

## Customizing Xcos with new Blocks and PaletteIn this tutorial, we show how to create and customize Xcos blocks and palettes. Moreover, we use the "Xcos toolbox skeleton" for a better result. The LHY model in Xcos scheme (already developed in other tutorials) is used as a starting point. |
February 10, 2012 | |

## Multiobjective optimization with Scilab
One of the Openeering team goal is to support optimization in companies daily activities. |
April 7, 2011 |