Results 51 to 60 of about 22,130,080 (237)
Model-Predictive Quantum Control via Hamiltonian Learning
IEEE Transactions on Quantum Engineering, 2022 This article proposes an end-to-end framework for the learning-enabled control of closed quantum systems. The proposed learning technique is the first of its kind to utilize a hierarchical design, which layers probing control, quantum state tomography ...
MAISON CLOUATRE +2 more
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Diffusion Model Predictive Control
CoRRPublished at ...
Guangyao Zhou +8 more
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Efficient model predictive control with prediction dynamics [PDF]
2003 European Control Conference (ECC), 2003 An efficient robust model predictive control (MPC) strategy using augmented ellipsoidal invariant sets is enhanced by introducing more general dynamics in the future control moves (referred to as prediction dynamics) than simple time recession. This allows significant enlargements of the region of attraction for a give control horizon.
Stian Drageset +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo +9 more
wiley +1 more source
Comparison of Linear MPC and Explicit MPC for Battery Cell Balancing Control
AlgorithmsThis paper presents and compares two model predictive control (MPC) approaches for battery cell state-of-charge (SOC) balancing. In both approaches, a linearized discrete-time model that takes into account individual cell capacities is used.
Wanqun Yang, Jun Chen
doaj +1 more source
Model predictive control for a multiple injection combustion model
Open Engineering, 2021 In this work, a model predictive controller is developed for a multiple injection combustion model. A 1D engine model with three distinct injections is used to generate data for identifying the state-space representation of the engine model.
Khac Hoang Nguyen +4 more
doaj +1 more source
Overview of Predictive Control Technology for Permanent Magnet Synchronous Motor Systems
Applied Sciences, 2023 Permanent magnet synchronous motors (PMSMs) are commonly used in the automation industry. With the speedy development of digital system processors, predictive control as a modern control scheme has been applied to improve the dynamic performance and work
Jingyao Peng, Ming Yao
doaj +1 more source
On the Accuracy of the Model Predictive Control Method
SIAM Journal on Control and Optimization, 2022 The paper investigates the accuracy of the Model Predictive Control (MPC) method for finding online approximate optimal feedback control for Bolza type problems on a fixed finite horizon. The predictions for the dynamics, the state measurements, and the solution of the auxiliary open-loop control problems that appear at every step of the MPC method may
Georgi Angelov +2 more
openaire +3 more sources
Model Predictive Control for Linear Impulsive Systems [PDF]
, 2012 Linear Impulsive Control Systems have been extensively studied with respect to their equilibrium points which, in most cases, are no other than the origin.
Panagiotis Patrinos +9 more
core +2 more sources
Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine +17 more
wiley +1 more source