Results 41 to 50 of about 415 (209)

Approximate dynamic programming via sum of squares programming [PDF]

2013 European Control Conference (ECC), 2013
7 pages, 5 figures.
Summers, T.H., Kunz, K., Kariotoglou, N., Kamgarpour, Maryam, Summers, S., Lygeros, J.   +5 more
openaire   +4 more sources

Optimal control of heavy haul train based on approximate dynamic programming

Advances in Mechanical Engineering, 2017
This research investigates the optimal control problem of heavy haul train for the minimization of longitudinal forces. As the heavy haul train is much heavier and longer than ordinary train, the in-train forces should be carefully manipulated to reduce ...
Xi Wang, Tao Tang, Hui He
doaj   +1 more source

Adaptive-Dynamic-Programming-Based Robust Control for a Quadrotor UAV with External Disturbances and Parameter Uncertainties

Applied Sciences, 2023
Thiswork addresses the trajectory-tracking-control problem for a quadrotor unmanned aerial vehicle with external disturbances and parameter uncertainties.
Shaoyu Yang, Fang Yu, Hui Liu, Hongyue Ma, Haichao Zhang   +4 more
doaj   +1 more source

An LP based approximate dynamic programming model to address airline overbooking under cancellation, refund and no-show [PDF]

Yugoslav Journal of Operations Research, 2019
In this paper we simultaneously address four constraints relevant to airline revenue management problem: flight cancellation, customer no-shows, overbooking, and refunding. We develop a linear program closely related to the dynamic program formulation of
Soleymanifar Reza
doaj   +1 more source

Real-time optimal decision-making in multi-park systems based on distributed approximate dynamic programming

International Journal of Electrical Power & Energy Systems
To address the challenges associated with the ambiguous characterization of carbon emissions due to the diversity and temporal coupling of energy storage devices, as well as the computational complexity, privacy concerns, and low reliability in multi ...
Yu Cao, Guodong Wang, Kezhuang Xue, Jingrui Li, Xingquan Ji, Guojie Li   +5 more
doaj   +1 more source

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben, Marisa H. Huisman, Martha A. Grootenhuis, Femke K. Aarsen, Marita Partanen   +4 more
wiley   +1 more source

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk, Sebastian Michaelis, Michaela Döring, Thomas Eichholz, Ursula Holzer, Martin Ebinger, Tim Flaadt, Rupert Handgretinger, Peter Lang, Jan Frederic Weller, Markus Mezger   +10 more
wiley   +1 more source

Adaptive Dynamic Programming-based Tracking Controls of Multi-Motor Driven Systems

Taiyuan Ligong Daxue xuebao
[Purposes] The unknown multi-motor driven load systems are addressed in this paper with game theory and adaptive dynamic programming. [Methods] The neural network (NN) is used to approximate the unknown dynamics. On the basis of the approximated dynamics,
LYU Yongfeng, JIAN Long
doaj   +1 more source

Approximate Dynamic Programming With Feasibility Guarantees

IEEE Transactions on Control of Network Systems
Safe and economic operation of networked systems is often challenging. Optimization-based schemes are frequently considered, since they achieve near-optimality while ensuring safety via the explicit consideration of constraints. In applications, these schemes, however, often require solving large-scale optimization problems.
Alexander Engelmann, Maísa Beraldo Bandeira, Timm Faulwasser   +2 more
openaire   +3 more sources

Tree Approximations of Dynamic Stochastic Programs [PDF]

SIAM Journal on Optimization, 2007
We consider a tree-based discretization technique utilizing conditional transportation distance, which is well suited for the approximation of multistage stochastic programming problems, and investigate corresponding convergence properties. We explain the relation between the approximation quality of the probability model and the quality of the ...
Radoslava Mirkov, Georg Ch. Pflug
openaire   +2 more sources