Results 91 to 100 of about 622,432 (209)
Optimal Homogeneous ℒp$$ {\boldsymbol{\mathcal{L}}}_{\boldsymbol{p}} $$‐Gain Controller
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 +3 more
wiley +1 more source
Optimal Gain Selection for the Arbitrary‐Order Homogeneous Differentiator
ABSTRACT Differentiation of noisy signals is a relevant and challenging task. Widespread approaches are the linear high‐gain observer acting as a differentiator and Levant's robust exact differentiator with a discontinuous right‐hand side. We consider the family of arbitrary‐order homogeneous differentiators, which includes these special cases.
Benjamin Calmbach +2 more
wiley +1 more source
TRANSFERENCIA DE CONOCIMIENTOS TECNOLÓGICOS EN PRACTICAS PROFESIONALES SUPERVISADAS: EL CASO DE LA CARRERA DE INGENIERÍA INDUSTRIAL DE LA UNMDP [PDF]
El propósito del trabajo es analizar las características de la transferencia de conocimientos llevada a cabo por estudiantes de la carrera de Ingeniería Industrial de la Facultad de Ingeniería de la Universidad Nacional de Mar del Plata en el desarrollo ...
Zanfrillo, Alicia Inés +1 more
core
ABSTRACT This paper establishes an implementation‐aware framework for Barrier Function Adaptation (BFA) and shows that discrete‐time realizations fundamentally alter the logic of final‐set adjustment. In particular, sufficient conditions are derived to preserve the key benefits of BFA (predefined performance, gain adaptation with uncertain perturbation
Luis Ovalle +3 more
wiley +1 more source
Este trabajo presenta una revisión sistemática para determinar si existen sistemas recomendadores que den soporte al diseño de objetos de aprendizaje en educación superior, fundamentalmente para enseñanza de ingenierías.
Valeria Bertossi +2 more
doaj +1 more source
Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño +6 more
wiley +1 more source

