Results 61 to 70 of about 1,700,235 (339)
Stability for Receding-horizon Stochastic Model Predictive Control [PDF]
A stochastic model predictive control (SMPC) approach is presented for discrete-time linear systems with arbitrary time-invariant probabilistic uncertainties and additive Gaussian process noise.
Mesbah, Ali +2 more
core +1 more source
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
wiley +1 more source
Sparse preconditioning for model predictive control
We propose fast O(N) preconditioning, where N is the number of gridpoints on the prediction horizon, for iterative solution of (non)-linear systems appearing in model predictive control methods such as forward-difference Newton-Krylov methods.
Knyazev, Andrew, Malyshev, Alexander
core +1 more source
A finite control set model predictive control method for matrix converter with zero common-mode voltage [PDF]
In this paper a finite control set model predictive control method is presented that eliminates the common-mode voltage at the output of a matrix converter.
Dan, Hanbing +6 more
core +1 more source
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
An Extended Model Predictive-Sliding Mode Control for Three-Level AC/DC Power Converters
In the proposed approach, an Extended Model Predictive Sliding Mode Controller (EMPSMC) was designed to control three-level AC / DC power converters for better dynamic performance and better achievement.
Muhammad Jamshed Abbass +5 more
doaj
The disturbance model in model based predictive control [PDF]
Model Based Predictive Control (MBPC) is a control methodology which uses a process model on-line in the control computer; this model is used for calculating output predictions and optimizing control actions.
De Keyser, Robain +1 more
core +2 more sources
Robust Model Predictive Control via Scenario Optimization
This paper discusses a novel probabilistic approach for the design of robust model predictive control (MPC) laws for discrete-time linear systems affected by parametric uncertainty and additive disturbances.
Calafiore, Giuseppe C., Fagiano, Lorenzo
core +1 more source
Model Predictive Control of a Tandem-Rotor Helicopter With a Nonuniformly Spaced Prediction Horizon [PDF]
Faraaz Ahmed +2 more
openalex +1 more source
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

