Results 131 to 140 of about 7,458,492 (235)

Stochastic Model Predictive Control Using Indirect Feedback With a Modified Terminal Constraint

Optimal Control Applications and Methods, EarlyView.
This paper proposes a novel dynamic terminal set approach for the model predictive control (MPC) design. It concerns the class of linear systems subject to stochastic disturbances and builds upon an indirect feedback (IF) strategy. The main contribution is to explore the time‐varying definition of the constraints in the indirect feedback SMPC (IF‐SMPC)
Tito L. M. Santos, Sorin Olaru
wiley   +1 more source

Pseudo-Additive Tsallis Entropy and Non-Factorizing Joint Statistics in Product Sheffer Stroke Basic Algebras. [PDF]

Entropy (Basel)
Senturk I, Bilge M, Oner T.
europepmc   +1 more source

Safeguarded Reinforcement Learning for Dynamic Environments

Optimal Control Applications and Methods, EarlyView.
This paper uses a combination of Reinforcement Learning and Funnel Control to train a fast and safe controller for systems operating in changing environments. Furthermore, the presented formulation overcomes former limitations associated with the need for predefined reference trajectories.
Simon Gottschalk
wiley   +1 more source

Parabolic PDEs with Dynamic Data under a Bounded Slope Condition. [PDF]

Arch Ration Mech Anal
Bögelein V, Duzaar F, Treu G.
europepmc   +1 more source

A Simple Rheology‐Based Framework for Selecting Printing Parameters in Extrusion‐Based Hydrogel Additive Manufacturing

Polymer Engineering &Science, EarlyView.
An open analytical framework converts standard rheological measurements directly into the complete extrusion field and slicer‐ready printing parameters for Piston driven printers, enabling rapid operational window of printability in direct ink writing without CFD or machine learning. ABSTRACT Predicting whether a gel formulation will print successfully
Thiago M. C. Rodrigues, João V. R. C. dos Santos, Nicole P. Martins, Rossana Mara da Silva Moreira Thiré   +3 more
wiley   +1 more source

Bayesian Sampling with Approximate Transport Geometry via Residual-Slice Correction. [PDF]

Entropy (Basel)
Zhu Y, Hu Q.
europepmc   +1 more source

Propagation of internal gravity waves: Optimal vertical discretisation and grid design based on numerical error analysis

Quarterly Journal of the Royal Meteorological Society, EarlyView.
An energy‐conserving discrete framework for the vertical discretisation of stratified ocean models is developed using internal gravity‐wave theory. A β$$ \beta $$‐indexed family of schemes is analysed through perturbation theory, revealing optimal parameter choices and grid designs that reduce truncation errors significantly.
Gabriel Derrida, Laurent Debreu, Florian Lemarié, Jérome Chanut   +3 more
wiley   +1 more source

Nature-Positive Solutions and CGIAR: A pop up exhibit

Nature-Positive Solutions and CGIAR is a pop-up art exhibition featuring information artworks produced in collaboration with The Lexicon of Sustainability and the CGIAR Nature-Positive Solutions Initiative.
CGIAR Nature-Positive Solutions Initiative, Lexicon of Sustainability   +1 more
core   +1 more source

Numerical convergence of the scalar auxiliary variable method applied to nonlinear stiff string models. [PDF]

Nonlinear Dyn
Russo R, Ducceschi M, Bilbao S.
europepmc   +1 more source

Evaluation of a stochastically perturbed parametrisations scheme for sea ice in sub‐seasonal forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Overconfident sea ice forecasts pose a challenge in subseasonal prediction. To test a potential way to address this issue and account for sea ice model uncertainty, this article investigates a stochastically perturbed parametrisations (SPP) scheme for sea ice in a prototype CY49R2 configuration of the coupled IFS‐NEMO4‐SI3 system. The results show that
Jonas Spaeth, Steffen Tietsche, Kristian Strommen, Michael Mayer, Andrea Storto, Christopher D. Roberts, Sarah‐Jane Lock, Sarah Keeley   +7 more
wiley   +1 more source