A Two Degree of Freedom Approach for Discrete‐Time Sliding Mode Control
ABSTRACT This paper proposes a new two degree of freedom (2‐DOF) framework for discrete‐time sliding mode control (DSMC) that decouples the disturbed evolution from its nominal counterpart. The novel nominal/disturbed subsystem separation for DSMC can be used to define multiple closed‐loop specifications. The nominal regulation (or tracking) controller
Tito L. M. Santos, Ary M. Batista
wiley +1 more source
Restrições funcionais de desigualdade no FPO Newton tratadas pelo metodo da continuação [PDF]
Orientador: Anesio dos Santos JrDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia EletricaResumo: O Fluxo de Potência Ótimo (FPO) encontrou um dos algoritmos de resolução mais eficientes no método de Newton aplicado ao ...
Vasconcellos, Marcos Trevisan
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The role of identification in data‐driven policy iteration: A system theoretic study
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley +1 more source
Cosmological implications of the Gaia Milky Way declining rotation curve [PDF]
International audienceAlthough the existence of dark matter has been widely acknowledged in the cosmology community, its nature remains unknown despite decades of research. This calls into questions its very existence.
Blanchard, Alain, Coquery, E.
core +1 more source
Actuation Strategies for Underwater Jet‐Propelled Soft Robots
ABSTRACT This review article examines jet‐propulsion mechanisms in underwater soft robotic systems, focusing exclusively on physically fabricated and experimentally validated robots. Covering research published from 2013 to 2025, this study classifies and evaluates jet‐propulsion robots based on their actuation mechanisms.
Angel Kitone +3 more
wiley +1 more source
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
Carbon Speciation and Solubility in Silicate Melts
This book is Open Access. A digital copy can be downloaded for free from Wiley Online Library.
Explores the behavior of carbon in minerals, melts, and fluids under extreme conditions
Carbon trapped in diamonds and carbonate-bearing rocks in subduction zones are examples of the continuing exchange of substantial carbon ...
Natalia Solomatova +2 more
wiley +1 more source
Méthodes numériques avancées pour les problèmes à forte raideur en transport réactif [PDF]
The simulation of reactive transport in porous media is a major challenge for the energy transition, with applications in CO2 sequestration, geothermal energy and hydrogen storage. Today, the performance of reactive transport codes is severely limited by
Jonval, Maxime
core +2 more sources
Tuning the Coherent Propagation of Organic Exciton-Polaritons through the Cavity Q-factor. [PDF]
Tichauer RH, Sokolovskii I, Groenhof G.
europepmc +1 more source
A general parametric optimal power flow [PDF]
The objective of an Optimal Power Flow (OPF) algorithm is to find the steady-state operation point of a generation-transmission system which minimizes a pre-specified cost function and meets a set of operational and/or security constraints.
De Almeida, Katia Campos
core

