Results 221 to 230 of about 14,747,589 (248)

From Common Information to Canonical Correlation Analysis and Beyond: Bridging Information Theory, Signal Processing, and Machine Learning. [PDF]

Entropy (Basel)
Karakasis PA, Saad W.
europepmc   +1 more source

Low‐order system for eddy growth in the storm track

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Reanalysis data for the North Atlantic storm track are used to construct a low‐order model that optimally fits the observed interaction between the mean flow and baroclinic eddies. The resulting model is a certain type of predator–prey model. It explains various properties of the storm track, including why eddies grow linearly with the Eady growth rate,
Maarten H. P. Ambaum, Thomas H. A. Frame
wiley   +1 more source

Single-Stage Causal Incentive Design via Optimal Interventions. [PDF]

Entropy (Basel)
Bejos S, Morales EF, Sucar LE, Munoz de Cote E.   +3 more
europepmc   +1 more source

Data‐driven emulation of flow‐dependent background‐error variance in variational data assimilation

Quarterly Journal of the Royal Meteorological Society, EarlyView.
A machine‐learning approach is developed to emulate flow‐dependent background‐error variance within a variational data assimilation framework. The method reproduces uncertainty information that would normally require a 50‐member ensemble using only five members, while maintaining comparable observation fit and forecast performance.
Wei Pan, Massimo Bonavita, Marcin Chrust, Elías Hólm   +3 more
wiley   +1 more source

Double BFV Quantisation of 3D Gravity. [PDF]

Commun Math Phys
Canepa G, Schiavina M.
europepmc   +1 more source

The 3d Mixed BF Lagrangian 1-Form: A Variational Formulation of Hitchin's Integrable System. [PDF]

Commun Math Phys
Caudrelier V, Harland D, Singh AA, Vicedo B.   +3 more
europepmc   +1 more source

Nonlinear Projection for Ballistic Correlation Functions: a Formula in Terms of Minimal Connected Covers. [PDF]

J Stat Phys
Doyon B.
europepmc   +1 more source

Optimal Homogeneous ℒp$$ {\boldsymbol{\mathcal{L}}}_{\boldsymbol{p}} $$‐Gain Controller

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Nonlinear ℋ∞$$ {\mathscr{H}}_{\infty } $$‐controllers are designed for arbitrarily weighted, continuous homogeneous systems with a focus on systems affine in the control input. Based on the homogeneous ℒp$$ {\mathcal{L}}_p $$‐norm, the input–output behavior is quantified in terms of the homogeneous ℒp$$ {\mathcal{L}}_p $$‐gain as a ...
Daipeng Zhang, Benjamin Calmbach, Jaime A. Moreno, Johann Reger   +3 more
wiley   +1 more source

Timeless Histories: Quantum Measurement and the Maximum Entropy Principle. [PDF]

Entropy (Basel)
Tkachenko AV.
europepmc   +1 more source

Sliding Mode Control in Aerospace Applications: A Survey

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Sliding mode control (SMC) enjoys robustness to matched and unmatched (in the case of minimum phase input‐output dynamics) bounded perturbations, and finite time convergence. Second‐order and higher‐order sliding mode control systems (2‐SMC/HOSMC) retain all the advantages of sliding mode control, but in addition can be applied to systems of ...
Yuri Shtessel, Christopher Edwards
wiley   +1 more source