Recursive regulator: a deep-learning and real-time model adaptation strategy for nonlinear systems. [PDF]
Sun J, Huang Y, Yu W, Garcia-Ortiz A.
europepmc +1 more source
RRAEDy: adaptive latent linearization of nonlinear dynamical systems. [PDF]
Mounayer J +4 more
europepmc +1 more source
Application of Koopman Operator Theory for Control of an Autonomous Formula Student Race Car
Denne oppgaven undersøker anvendelse av Koopman operator-teori for modellering og prediktiv styring av en autonom Formula Student-racerbil. Med Koopman operator-teori er det mulig å transformere ulineære dynamiske systemer til løftede lineære dynamiske ...
Kristensen, Peder Tinholt
core
Koopman-Based Model Predictive Control of Functional Electrical Stimulation for Ankle Dorsiflexion and Plantarflexion Assistance. [PDF]
Singh M, Hakam N, Kesar TM, Sharma N.
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Quantum-informed machine learning for predicting spatiotemporal chaos with practical quantum advantage. [PDF]
Wang M, Xue X, Gao M, Coveney PV.
europepmc +1 more source
Quantum asymptotic phase function on the basis of Koopman operator theory
identifier:oai:t2r2.star.titech.ac.jp ...
openaire
Analyzing Peptide Torsional Dynamics: An Angular-Displacement PCA Pipeline for Short-Horizon Prediction from Molecular Dynamics. [PDF]
Albrizzi L +5 more
europepmc +1 more source
Hamiltonian simulation for nonlinear partial differential equation by Schrödingerization. [PDF]
Sasaki S, Endo K, Muramatsu M.
europepmc +1 more source
Koopman-based linearization of preparatory EEG dynamics in Parkinson's disease during galvanic vestibular stimulation. [PDF]
Kia M +9 more
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Deep Koopman Approach for Nonlinear Dynamics and Control of Tendon-Driven Continuum Robots. [PDF]
Feizi N +3 more
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