Results 51 to 60 of about 1,700,235 (339)

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, MOHAMMAD JAVAD KHOJASTEH, MOE Z. WIN   +2 more
doaj   +1 more source

Clinical Correlates of Anxiety and Depression After Diagnosis of a Pediatric Brain Tumor

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The prevalence and clinical correlates of symptoms of anxiety and depression in pediatric patients with brain tumors are not well described. We aimed to identify clinical characteristics that are correlated with elevated symptoms of anxiety and depression following initial diagnosis.
Bryony J. Lucas, Se‐Kang Kim, Joan Yu, Ana Sofia C. Ibarrola, Heather H. Stancel, Kavyaa Choudry, Mary Elizabeth Moody, Krystal K. Christopher, David R. Grosshans, Arnold C. Paulino, Guillermo Aldave, M. Fatih Okcu, Murali M. Chintagumpala, Austin L. Brown, Michael E. Scheurer, Kimberly P. Raghubar, Lisa S. Kahalley   +16 more
wiley   +1 more source

Enhancing Strong Neighbor-Based Optimization for Distributed Model Predictive Control Systems

Mathematics, 2018
This paper considers a class of large-scale systems which is composed of many interacting subsystems, and each of them is controlled by an individual controller.
Shan Gao, Yi Zheng, Shaoyuan Li
doaj   +1 more source

Explicit model predictive control accuracy analysis

, 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, Knyazev, Andrew, Zhu, Peizhen   +2 more
core   +1 more source

Nonparametric nonlinear model predictive control [PDF]

, 2004
Model Predictive Control (MPC) has recently found wide acceptance in industrial applications, but its potential has been much impeded by linear models due to the lack of a similarly accepted nonlinear modeling or databased technique.
A. Arpornwichanop, B.-G. Jeong, B.M. Maner, C. E. Garcia, D.Q. Mayne, E. Hernandez, F. J. Doyle III, H. Genceli, H. Kashiwagi, H. Kashiwagi, H. Kashiwagi, H. Ohno, Hiroshi Kashiwagi, I. S. Chin, J. Saintdonat, K. C. Tan, K. P. Fruzzetti, K.-H. Cho, M.A. Henson, P. Kittisupakorn, R.K. Pearson, S. Boyd, S. C. Oh, S. J. Norquay, S. Y. Park, S.-M. Ahn, S.A. Billings, S.W. Sung, Y. Yeo, Yun Li   +29 more
core   +1 more source

What to Do When Medical Evidence Can Only Be Generated Through Routine Data: An Example From Pediatric Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Children undergoing allogeneic stem cell transplantation often receive off‐label rituximab treatment for Epstein–Barr virus reactivation, using adult dosing without pediatric evidence. This project aims to develop a clinical decision support tool (CDSS) that provides evidence‐based dosing scenarios by analyzing real‐world patient data.
Birgit Burkhardt, Antje Walz, Dietrich Knoerzer   +2 more
wiley   +1 more source

Reliable fault-tolerant model predictive control of drinking water transport networks [PDF]

, 2016
This paper proposes a reliable fault-tolerant model predictive control applied to drinking water transport networks. After a fault has occurred, the predictive controller should be redesigned to cope with the fault effect.
Garza Castañón, Luís Eduardo, Ocampo-Martínez, Carlos, Puig Cayuela, Vicenç, Robles Guillem, Deneb   +3 more
core   +2 more sources

Observer-based model predictive control [PDF]

International Journal of Control, 2004
Model predictive control in combination with discrete time non-linear observer theory is studied in this paper. Model predictive control, generally based on state space models, needs the complete state for feedback. In this paper the complete state is assumed not to be known and only outputs and inputs of the system are measured. To obtain knowledge of
Roset, B.J.P., Nijmeijer, H.
openaire   +3 more sources

Stereotactic Body Radiation Therapy for Pediatric, Adolescent, and Young Adult Patients With Osteosarcoma: Local Control Outcomes With Dosimetric Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis, Shauna R. Campbell, Jonathan Jang, Eashwar Somasundaram, Chandana A. Reddy, Jacob G. Scott, Lilyana Angelov, Peter M. Anderson, Matteo Trucco, Zachary Burke, Lukas Nystrom, Nathan Mesko, Anthony Magnelli, Erin S. Murphy   +13 more
wiley   +1 more source

Convex model predictive control for collision avoidance

IET Control Theory & Applications, 2021
This manuscript proposes a model predictive control for collision avoidance for the regulation problem of deterministic linear systems, which provides a priori guarantees of strong system theoretic properties, such as positive invariance and asymptotic ...
Saša V. Raković, Sixing Zhang, Li Dai, Yanye Hao, Yuanqing Xia   +4 more
doaj   +1 more source