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Port-Hamiltonian Methods

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".

Deadline for manuscript submissions: 31 January 2026 | Viewed by 39

Special Issue Editors


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Guest Editor
Robotics and Mechatronics (RaM) Group, University of Twente, 7522 NB Enschede, The Netherlands
Interests: energy-based control; port-Hamiltonian systems; geometric control; distributed parameter systems; robotics

E-Mail Website
Guest Editor
Robotics and Mechatronics Department, University of Twente, 7522 NB Enschede, The Netherlands
Interests: robotics; control; modelling; port-Hamiltonian systems

E-Mail Website
Guest Editor
Control and Instrumentation Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia
Interests: port-Hamiltonian systems; aerial robotics; systems and control

Special Issue Information

Dear Colleagues,

Port-Hamiltonian (pH) theory emerged around three decades ago, with the idea of modelling and controlling physical dynamical systems in a substantially different way than most of the control system community does. Based on the pillars of physical energy and interconnection of subsystems, the port-Hamiltonian theory offers a systematic framework for the analysis, control and simulation of complex networks of physical systems. This formulation highlights the way energy flows in systems and has been proven to be very successful for lumped-parameter models as well as for distributed-parameter models in any physical domain.

Port-Hamiltonian formulations possess far-reaching properties and have gained extreme popularity in different fields, beyond both the system- and control-theoretic frameworks. For example, mathematicians use port-Hamiltonian formulations to assess the well-posedness of partial differential equations, data scientists and numerical engineers exploit port-Hamiltonian formulations to develop structure-preserving integrators, while physicists acknowledge port-Hamiltonian theory as an insightful extension of Hamiltonian dynamics and are starting to use and extend the formalism to describe quantum systems.

This Special Issue aims to collect papers containing new results and tutorial-like/survey documents which make use of port-Hamiltonian theory at their core.

Dr. Federico Califano
Prof. Dr. Stefano Stramigioli
Dr. Ramy Rashad
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • port-Hamiltonian modelling
  • port-Hamiltonian control
  • boundary control methods for port-Hamiltonian distributed parameter systems
  • mathematical methods using port-Hamiltonian formulations
  • discretization and numerical methods using port-Hamiltonian framework
  • port-Hamiltonian description of multi-physics field theories
  • port-Hamiltonian description of quantum systems
  • port-based modelling of thermodynamically irreversible processes
  • port-based description of entropy creation
  • simulations of multi-physics systems using port-Hamiltonian theory
  • machine learning methods for identification and control using port-Hamiltonian theory
  • applications

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Published Papers

This special issue is now open for submission.
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