A Generalized Metriplectic System via Free Energy and System~Identification via Bilevel Convex Optimization
Sangli Teng, Kaito Iwasaki, William Clark, Xihang Yu, Anthony Bloch,, Ram Vasudevan, Maani Ghaffari

TL;DR
This paper extends the classical metriplectic formalism to include nonconservative dissipation by introducing free energy, and proposes a bilevel convex optimization method for system identification based on measurements.
Contribution
It introduces a generalized metriplectic framework that relaxes Casimir invariance and incorporates free energy, along with a bilevel convex optimization approach for system identification.
Findings
Demonstrates the generalized formalism on 2D Hamiltonian systems.
Applies the approach to SO(3) systems.
Provides a systematic method for system identification from measurements.
Abstract
This work generalizes the classical metriplectic formalism to model Hamiltonian systems with nonconservative dissipation. Classical metriplectic representations allow for the description of energy conservation and production of entropy via a suitable selection of an entropy function and a bilinear symmetric metric. By relaxing the Casimir invariance requirement of the entropy function, this paper shows that the generalized formalism induces the free energy analogous to thermodynamics. The monotonic change of free energy can serve as a more precise criterion than mechanical energy or entropy alone. This paper provides examples of the generalized metriplectic system in a 2-dimensional Hamiltonian system and . This paper also provides a bilevel convex optimization approach for the identification of the metriplectic system given measurements of the system.
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Taxonomy
TopicsControl Systems and Identification · Advanced Optimization Algorithms Research · Stability and Control of Uncertain Systems
