Results 31 to 40 of about 14,953 (260)

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

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

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

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, Shehu Umar Abdullahi, Hassan Adam Murtala, Halima Kabir, Khadija A. Shamsu, Sari A. Acra, Virginia A. Stallings, Mark Rodeghier, Michael R. DeBaun, Lauren J. Klein   +9 more
wiley   +1 more source

Approximate dynamic programming with a fuzzy parameterization [PDF]

Automatica, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lucian Busoniu, Damien Ernst, Bart De Schutter, Robert Babuska   +3 more
openaire   +2 more sources

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

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

Min-max approximate dynamic programming [PDF]

2011 IEEE International Symposium on Computer-Aided Control System Design (CACSD), 2011
In this paper we describe an approximate dynamic programming policy for a discrete-time dynamical system perturbed by noise. The approximate value function is the pointwise supremum of a family of lower bounds on the value function of the stochastic control problem; evaluating the control policy involves the solution of a min-max or saddle-point ...
Brendan O'Donoghue, Yang Wang 0021, Stephen P. Boyd   +2 more
openaire   +2 more sources