Connections between port-controlled Hamiltonian systems and differential games and their applications to decentralised control of multi-agent systems

Connections between port-controlled Hamiltonian (PCH) systems and differential games are explored in this paper. First, it is shown that a given differential game can be associated with a family of PCH systems. Second, the converse is demonstrated namely that a given PCH system can be associated with a family of differential games. Third, combining these insights, we present a strategy for assigning cost matrices of a differential game, and the free parameters that arise in the context of PCH systems, to achieve a specific closed-loop behaviour, characterised by a desired closed-loop energy function. The construction of the resulting control laws only requires solving linear matrix inequalities. Finally, the latter “integrated approach” is extended to provide a method to design decentralised control laws for a class of networked multi-agent systems.

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Publication Details

Journal
Automatica
Published
2026-03-12
DOI
https://doi.org/10.1016/j.automatica.2026.112913
Primary Topic
Control and Stability of Dynamical Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Connections between port-controlled Hamiltonian systems and differential games and their applications to decentralised control of multi-agent systems

Maria Luisa Scarpa, Thulasi Mylvaganam
Automatica
Control and Stability of Dynamical Systems
article

Connections between port-controlled Hamiltonian systems and differential games and their applications to decentralised control of multi-agent systems

Maria Luisa Scarpa, Thulasi Mylvaganam
article en

Abstract

Connections between port-controlled Hamiltonian (PCH) systems and differential games are explored in this paper. First, it is shown that a given differential game can be associated with a family of PCH systems. Second, the converse is demonstrated namely that a given PCH system can be associated with a family of differential games. Third, combining these insights, we present a strategy for assigning cost matrices of a differential game, and the free parameters that arise in the context of PCH systems, to achieve a specific closed-loop behaviour, characterised by a desired closed-loop energy function. The construction of the resulting control laws only requires solving linear matrix inequalities. Finally, the latter “integrated approach” is extended to provide a method to design decentralised control laws for a class of networked multi-agent systems.

AutomaticaVol. 187
Imperial College London (GB)
Openalex Percentile: Top 27%
Control and Stability of Dynamical Systems
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