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Port-Hamiltonian (pH) systems are a very important modeling tool in almost all areas of systems and control, in particular in network based model of multi-physics multi-scale systems. They lead to remarkably robust models that can be easily interconnected. This paper discusses the derivation of pH models from time-domain input-output data. While a direct construction of pH models is still an open problem, we present three different indirect numerical methods for the realization of pH systems. The algorithms are implemented in MATLAB and their performance is illustrated via several numerical examples.

Port-Hamiltonian (pH) systems have been studied extensively for linear continuous-time dynamical systems. In this manuscript a discrete-time pH descriptor formulation is presented for linear, completely causal, scattering passive dynamical systems that is purely based on the system coefficients. The relation of this formulation to positive and bounded real systems and the characterization via positive semidefinite solutions of Kalman-Yakubovich-Popv inequalities is also studied.

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