Quantum-informed machine learning for predicting spatiotemporal chaos with practical quantum advantage. [PDF]
Sci AdvWang M, Xue X, Gao M, Coveney PV.
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Enhancing gas concentration prediction and ventilation efficiency in deep coal mines: a hybrid DL-Koopman and Fuzzy-PID framework. [PDF]
Sci RepYuan K, Gao K, Liu Y.
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RRAEDy: adaptive latent linearization of nonlinear dynamical systems. [PDF]
Sci RepMounayer J +4 more
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Hamiltonian simulation for nonlinear partial differential equation by Schrödingerization. [PDF]
Sci RepSasaki S, Endo K, Muramatsu M.
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Koopman-Based Model Predictive Control of Functional Electrical Stimulation for Ankle Dorsiflexion and Plantarflexion Assistance. [PDF]
IEEE Trans Neural Syst Rehabil EngSingh M, Hakam N, Kesar TM, Sharma N.
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Koopman-based linearization of preparatory EEG dynamics in Parkinson's disease during galvanic vestibular stimulation. [PDF]
Front Hum NeurosciKia M +9 more
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Extended Kalman filter -- Koopman operator for tractable stochastic optimal control
The theory of dual control was introduced more than seven decades ago. Although it has provided rich insights to the fields of control, estimation, and system identification, dual control is generally computationally prohibitive. In recent years, however,
Ramadan, Mohammad S., Anitescu, Mihai
core
Deep Koopman Approach for Nonlinear Dynamics and Control of Tendon-Driven Continuum Robots. [PDF]
IEEE Robot Autom LettFeizi N +3 more
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Deep Koopman Operator-Informed Safety Command Governor for Autonomous Vehicles
Modeling of nonlinear behaviors with physical-based models poses challenges. However, Koopman operator maps the original nonlinear system into an infinite-dimensional linear space to achieve global linearization of the nonlinear system through input and ...
He, Xiangkun +3 more
core
Optimal DMD Koopman Data-Driven Control of a Worm Robot. [PDF]
Biomimetics (Basel)Rahmani M, Redkar S.
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