Results 121 to 130 of about 203,735 (329)
Random Finite Set Theory and Optimal Control of Large Collaborative Swarms
, 2018 Controlling large swarms of robotic agents has many challenges including, but not limited to, computational complexity due to the number of agents, uncertainty in the functionality of each agent in the swarm, and uncertainty in the swarm's configuration.
Doerr, Bryce +3 more
core +1 more source
An enhanced finite control set model predictive control method with self‐balancing capacitor voltages for three‐level T‐type rectifiers [PDF]
, 2022 Sertaç Bayhan +2 more
openalex +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Advanced Functional Materials, EarlyView.Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
Time‐optimal finite control set model predictive control of non‐isolated DC–DC converters
IET Electric Power ApplicationsThe authors propose a time‐optimal finite control‐set model predictive control (FCS‐MPC) formulation, generalised to the three most common non‐isolated DC–DC converters (buck, boost, buck–boost) tracking a constant switching frequency.
Thibaut Harzig, Brandon Grainger
doaj +1 more source
Data-driven Economic NMPC using Reinforcement Learning [PDF]
, 2019 Reinforcement Learning (RL) is a powerful tool to perform data-driven optimal control without relying on a model of the system. However, RL struggles to provide hard guarantees on the behavior of the resulting control scheme. In contrast, Nonlinear Model
Gros, Sébastien, Zanon, Mario
core +2 more sources
Advanced Functional Materials, EarlyView.This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari +4 more
wiley +1 more source
On generalized terminal state constraints for model predictive control
, 2012 This manuscript contains technical results related to a particular approach for the design of Model Predictive Control (MPC) laws. The approach, named "generalized" terminal state constraint, induces the recursive feasibility of the underlying ...
Fagiano, Lorenzo, Teel, Andrew R.
core +1 more source
Model Predictive Regulation [PDF]
, 2013 We show how optimal nonlinear regulation can be achieved in a model predictive control ...
Aguilar, Cesar O., Krener, Arthur J.
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Advanced Functional Materials, EarlyView.In this strategy, a conductive nano‐probe is employed to induce nanoscale phase transitions and map the nanoscale conductivity and trap density of GST films. By utilizing the contrasting properties of phase‐change states, nano‐resonators are fabricated that exhibit plasmonic conduction and dramatically different transport characteristics.
Sunwoo Bang +4 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A chiral photodetector capable of selectively distinguishing left‐ and right‐handed circularly polarized light is experimentally demonstrated. The device, which features a nanopatterned electrode inverse‐designed by a genetic algorithm within a metal–dielectric–metal nanocavity that incorporates a vacuum‐deposited small‐molecule multilayer, exhibits ...
Kyung Ryoul Park +3 more
wiley +1 more source