Results 181 to 190 of about 6,695 (326)

A regional implementation of a mixed finite‐element, semi‐implicit dynamical core

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
A regional version of a new dynamical core with an iterated semi‐implicit time discretisation and mixed finite‐element spatial discretisation is described. This involves modifying the mixed‐system and Helmholtz‐preconditioner equations to use lateral boundary condition (LBC) data specified by a driving model.
Christine Johnson   +9 more
wiley   +1 more source

Proper Implicit Discretization of Arbitrary‐Order Robust Exact Differentiators—Without and With Noise Filtering

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper considers the implicit Euler discretization of Levant's arbitrary order robust exact differentiator (RED) and Levant and Livne's arbitrary order robust exact filtering differentiator in the presence of sampled measurements.
Richard Seeber
wiley   +1 more source

Growth of a Tessellation: Geometric rules for the Development of Stingray Skeletal Patterns. [PDF]

open access: yesAdv Sci (Weinh)
Yang B   +8 more
europepmc   +1 more source

The evolution of renewable energy environments utilizing artificial intelligence to enhance energy efficiency and finance. [PDF]

open access: yesHeliyon, 2023
Yao F   +8 more
europepmc   +1 more source

Distributed Leader‐Following Formation of Discrete‐Time Multi‐Agent LPV Systems

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper addresses the leader‐following formation consensus problem for multi‐agent systems (MASs) with agents represented by discrete‐time linear parameter‐varying (LPV) models. The scenario where each agent can be modeled with distinct time‐varying scheduling parameters is investigated with respect to compensation signals.
Paulo S. P. Pessim   +4 more
wiley   +1 more source

Safety Critical Control of a System With Element‐Wise Estimation of Unknown Time‐Varying Parameters

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper presents a method for guaranteeing the safety of a system with time‐varying parameters. First, we extend Dynamic Regressor Extension and Mixing to estimate time‐varying parameters with a finite‐time update rule, and present a bound on the estimation error.
Emil Lykke Diget   +2 more
wiley   +1 more source

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