• DocumentCode
    2732917
  • Title

    Tool for the design and implementation of control systems with neural networks

  • Author

    Díaz, Andres Escobar ; Hernandez, Cesar Augusto

  • Author_Institution
    Technol. Fac., Distrital Univ., Bogota, Colombia
  • Volume
    1
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    876
  • Lastpage
    881
  • Abstract
    This document shows a very versatile application for the design and implementation of neural controllers in simulation. This application runs over Matlab Software. The application allows to follow all the steps in a process of designing control systems. Processes of identification can be made. At the beginning a model of the system that wants to be controlled is built. Entry data adapted to a system is generated and results at the exit are obtained. With the database the deduction of the model of the plant is made and design of neural control inverse model type: general o specialized. Then the controls can be tested directly in the application or exported the neural controller to Simulink. This characteristic of the application allows to test the controls with real systems through an interface that combines applications of Matlab and Labview.
  • Keywords
    control system CAD; control system analysis computing; mathematics computing; neurocontrollers; Matlab software; Simulink; control system; control systems designing process; identification process; neural control inverse model type; neural controller; neural network; Application software; Automatic control; Control system synthesis; Control systems; Inverse problems; Mathematical model; Neural networks; Neurons; RNA; Testing; Controls; Design; Identification; Inverse Model; Networks; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358046
  • Filename
    5358046