Results 61 to 70 of about 2,102,703 (308)

Fault tolerant model predictive control of open channels [PDF]

open access: yes, 2014
Automated control of water systems (irrigation canals, navigation canals, rivers etc.) relies on the measured data. The control action is calculated, in case of feedback controller, directly from the on-line measured data.
Blesa Izquierdo, Joaquim   +3 more
core  

Explicit model predictive control accuracy analysis

open access: yes, 2015
Model Predictive Control (MPC) can efficiently control constrained systems in real-time applications. MPC feedback law for a linear system with linear inequality constraints can be explicitly computed off-line, which results in an off-line partition of ...
Di Cairano, Stefano   +2 more
core   +1 more source

Time-varying partitioning for predictive control design: density-games approach [PDF]

open access: yes, 2019
The design of distributed optimization-based controllers for large-scale systems (LSSs) implies every time new challenges. The fact that LSSs are generally located throughout large geographical areas makes dicult the recollection of measurements and ...
Barreiro Gómez, Julián   +2 more
core   +2 more sources

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser   +6 more
wiley   +1 more source

Output-feedback model predictive control of a pasteurization pilot plant based on an LPV model [PDF]

open access: yes, 2016
In order to optimize the trade-off between components life and energy consumption, the integration of a system health management and control modules is required.
Karimi Pour, Fatemeh   +2 more
core   +1 more source

A Systematic Review of Evidence on the Clinical Effectiveness of Surveillance Imaging in Children With Medulloblastoma and Ependymoma

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Surveillance imaging aims to detect tumour relapse before symptoms develop, but it's unclear whether earlier detection of relapse leads to better outcomes in children and young people (CYP) with medulloblastoma and ependymoma. This systematic review aims to identify relevant literature to determine the efficacy of surveillance magnetic ...
Lucy Shepherd   +3 more
wiley   +1 more source

Research on predictive control for mine high-pressure three-level ANPC inverter

open access: yesGong-kuang zidonghua, 2016
A predictive control program for mine high-pressure three-level ANPC inverter based on predictive model control was proposed. The program uses current predictive control to achieve three-level ANPC high dynamic performance and unity power factor control,
YU Jing, MO Xiuquan, XU Na
doaj   +1 more source

Plug-and-Play Decentralized Model Predictive Control [PDF]

open access: yes, 2012
In this paper we consider a linear system structured into physically coupled subsystems and propose a decentralized control scheme capable to guarantee asymptotic stability and satisfaction of constraints on system inputs and states. The design procedure
Farina, Marcello   +2 more
core   +2 more sources

Prognostic Impact of Treatment Modalities, Including Targeted Compartmental Radio‐Immunotherapy, in a Cohort of Neuroblastoma Patients With CNS Metastases at Relapse

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez   +13 more
wiley   +1 more source

Imitation Learning for Agnostic Battery Charging: A DAGGER-Based Approach

open access: yesIEEE Access, 2023
This work presents a novel approach to the challenge of battery charging under real-world constraints, related to uncertainties in system parameters and unmeasurable internal states of batteries.
Andrea Pozzi, Daniele Toti
doaj   +1 more source

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