Gradient based discrete-time modeling and control of Hamiltonian systems

Leyla Goren-Sumer, Yaprak Yalcin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

A gradient based discrete-time model of continuous Hamiltonian systems with input is proposed and a procedure is given to construct the discrete-time model. The model validation for both separable and non-separable case is done considering the energy relation, additionally stabilizability condition is given and the model is also tested especially for the well-known nonseparable Hamiltonian systems by simulations. After then, the discrete-time counterpart of PBC technique is developed for n-degree of freedom mechanical systems using this proposed discretetime model. The discrete-time control rules which correspond to potential energy shaping and damping assignment are designed directly using the discrete time model of the desired system and the discrete time model of the open loop systems. To illustrate the effectiveness of the proposed method, two non-separable examples are investigated and the simulation results are given.

Original languageEnglish
Title of host publicationProceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
Edition1 PART 1
DOIs
Publication statusPublished - 2008
Event17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of
Duration: 6 Jul 200811 Jul 2008

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1 PART 1
Volume17
ISSN (Print)1474-6670

Conference

Conference17th World Congress, International Federation of Automatic Control, IFAC
Country/TerritoryKorea, Republic of
CitySeoul
Period6/07/0811/07/08

Keywords

  • Application of nonlinear analysis and design
  • Model validation in design methods
  • Nonlinear system control

Fingerprint

Dive into the research topics of 'Gradient based discrete-time modeling and control of Hamiltonian systems'. Together they form a unique fingerprint.

Cite this