@mastersthesis{2016-Giovannangeli-Internship-UC3,
  abstract = {This report describes the design of a heuristic algorithm using a
	simulation on MATLAB®/Simulink® to successfully steer a crane model
	based on an experimental system which is the “The Loading Bridge
	PC60”. This work will be principally used for didactic purposes in
	order to carry out some practical works for the students. Two different
	models of the crane, a simplified and a complex one, were developed
	to obtain a simulation on MATLAB® /Simulink® . So that, it is possible
	to collect some necessary data to implement the heuristic algorithm.
	For the simplified model, the physical laws of mechanics were applied
	to deduce the mathematical model. However, for the complex model
	of the crane, a complete simulation on SimMechanics® , a extended
	software of MATLAB® /Simulink®, was designed. The main parameters
	of the used models are defined in order to fit the real system’s
	ones. A summary of the tests carried out on both models so as to
	validate them is detailed in this report. Based on the results achieved,
	a first heuristic algorithm is designed using the Least Mean Square
	(LMS) approximation to seek for the optimal steering functions.},
  address = {Universität Kassel},
  author = {{Giovannangeli}, Florian},
  interhash = {60e6b0f40582a76b8da8f8652b8acbf4},
  intrahash = {4a40f19a62f68977dc5ecfb4484cf4a5},
  language = {Englisch},
  month = {August},
  mrtnote = {education},
  mrtnr = {171},
  owner = {duerrbaum},
  school = {FG Mess- und Regelungstechnik},
  supervisor = {Univ.-Prof. Dr.-Ing. Andreas Kroll, David Arengas, Benjamin Jäschke, Hassan E. Al Mawla},
  title = {Development and implementation of an extended use case in the scale
	factory $\mu$Plant},
  type = {Internship},
  year = 2016
}