Passivity-Based Model-Predictive Control for the Permanent Magnet Synchronous Machine
Context: This study focuses on advanced control techniques for permanent magnet synchronous machines (PMSMs), which are crucial in various industrial applications due to their efficiency and precise control requirements.
Alejandro Garcés-Ruiz +1 more
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Accurately predicting the long-term behavior of complex dynamical systems is a central challenge for safety-critical applications like autonomous navigation. Mechanistic models are often brittle, relying on difficult-to-measure parameters, while standard
Xiang Jin, Zeyu Lyu, Jiayi Liu, Yu Lu
doaj +1 more source
This paper considers the problem of robust stabilization of linear time‐invariant systems with respect to unmodelled dynamics and structure uncertainties.
Mohamed Mabrok, Mahmoud Abdelrahim
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Data-Driven Parameter Identification of Synchronous Generators: A Three-Stage Framework with State Consistency and Grid Decoupling. [PDF]
Peykarporsan R +3 more
europepmc +1 more source
The Physics, Information, and Computation of Perennial Learning: Kolmogorov Complexity, Information Distance, and Port-Hamiltonian Thermodynamics. [PDF]
Bajaj C.
europepmc +1 more source
Quantum dynamics and squeezing in a noiseless cavity mode driven by a coherent three-level atom. [PDF]
Awol B, Mekuye B, Tamina M.
europepmc +1 more source
Symplectic physics-embedded learning via Lie groups Hamiltonian formulation for serial manipulator dynamics prediction. [PDF]
Wang F, Chen L, Ding J.
europepmc +1 more source
Characterizing many-body dynamics with projected ensembles on a superconducting quantum processor. [PDF]
Yan Z +5 more
europepmc +1 more source
Conservative port-to-port funneling of light in nonlinear photonic lattices. [PDF]
Pyrialakos GG +7 more
europepmc +1 more source
Geometric Neural Ordinary Differential Equations: From Manifolds to Lie Groups. [PDF]
Wotte YP, Califano F, Stramigioli S.
europepmc +1 more source

