Structure Preserving $H_\infty$ Control for Port-Hamiltonian Systems
Tobias Breiten, Attila Karsai

TL;DR
This paper develops a method for designing $H_ fty$ controllers for port-Hamiltonian systems that preserves their structure, and demonstrates that balanced truncation can maintain this structure in reduced models.
Contribution
It introduces a modified Riccati equation approach ensuring port-Hamiltonian structure in $H_ abla$ control design and model reduction.
Findings
Modified Riccati equations preserve port-Hamiltonian structure.
Balanced truncation maintains structure in reduced models.
System representation influences approximation quality.
Abstract
We study control design for linear time-invariant port-Hamiltonian systems. By a modification of the two central algebraic Riccati equations, we ensure that the resulting controller will be port-Hamiltonian. Using these modified equations, we proceed to show that a corresponding balanced truncation approach preserves port-Hamiltonian structure. We illustrate the theoretical findings using numerical examples and observe that the chosen representation of the port-Hamiltonian system can have an influence on the approximation qualities of the reduced order model.
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Taxonomy
TopicsControl and Stability of Dynamical Systems · Model Reduction and Neural Networks · Numerical methods for differential equations
