Intelligent Control of Mechatronic Systems

Chapter
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 120)

Abstract

Among the variety of methods for mechatronic systems control, the intelligent control uses modern algorithms that compensate for the nonlinearity of controlled systems. These algorithms can adapt their parameters to variable operating conditions and comprise artificial intelligence methods such as artificial neural networks, and fuzzy logic algorithms. A distinction can be made between fuzzy control and neural control based on the type of artificial intelligence algorithms.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Department of Applied Mechanics and Robotics, Faculty of Mechanical Engineering and AeronauticsRzeszow University of TechnologyRzeszowPoland

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