Mathematical Modeling for Nonlinear Control, A Hamiltonian Approach

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Abstract

Modern model based nonlinear ontrol requires a good mathematial desription of the system we want to ontrol, for both, the system analysis and the controller design. Obviously, the term nonlinear system is too broad, and one is interested in subclasses of nonlinear systems with at least two properties. These classes should cover real world problems. There should exist controller design methods, powerful enough to admit a systematic design of the closed loop with certain properties. Now, classial Hamiltonian systems have a rich mathematical structure, which has been extended such that dissipative effects or inputs and outputs, or better ports, are included in this class. This contribution starts with a Hamiltonian description of linear time invariant lumped parameter systems to motivate the introduction of certain mathematical ideas, which will be exploited in the nonlinear case afterwards. After that the approach will be extended to the distributed parameter case. Finally, the applicability of the presented methods is shown with the help of a piezoeletric elastic structure.
Original languageEnglish
Title of host publicationCD Proceedings 5th Vienna Symposium on Mathematical Modelling, Mathmod 2006
Editors Troch I., Breitenecker F.
Number of pages20
Publication statusPublished - 2006

Publication series

NameARGESIM Report

Fields of science

  • 101028 Mathematical modelling
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202003 Automation
  • 202017 Embedded systems
  • 202027 Mechatronics
  • 202034 Control engineering
  • 203015 Mechatronics

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