Results 51 to 60 of about 1,703,012 (264)
Distributed model predictive control [PDF]
This chapter presents different approaches to distributed model predictive control (DMPC) strategy for interconnected networked systems. In one approach, the dissipativity concept is employed as the vehicle for system analysis and design. Each node of the network is represented by a linear state space model designated as a subsystem herein.
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Empirical Inferences Under Bayesian Framework to Identify Cellwise Outliers
Outliers are typically identified using frequentist methods. The data are classified as “outliers” or “not outliers” based on a test statistic that measures the magnitude of the difference between a value and the majority part of the data.
Luca Sartore, Lu Chen, Valbona Bejleri
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ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura +5 more
wiley +1 more source
Improving predictive distributions
Consider a sequence of decision problems S1, S2, ... and suppose that in problem Si the statistician must specify his predictive distribution Fi for some random variable Xi and make a decision based on that distribution. For example, Xi might be the return on some particular investment and the statistician must decide whether or not to make that ...
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ABSTRACT Background B‐cell lymphoblastic lymphoma (B‐LBL) represents a rare variety of non‐Hodgkin lymphoma, with limited research on its biology, progression, and management. Methods A retrospective analysis was performed on the clinical characteristics of 256 patients aged ≤18 years who received treatment under the China Net Childhood Lymphoma (CNCL)‐
Zhijuan Liu +20 more
wiley +1 more source
Multivariate control charts based on Bayesian state space models
This paper develops a new multivariate control charting method for vector autocorrelated and serially correlated processes. The main idea is to propose a Bayesian multivariate local level model, which is a generalization of the Shewhart-Deming model for ...
Ameen +49 more
core +1 more source
Distributed model predictive control [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eduardo F. Camacho, Carlos Bordons
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ABSTRACT Introduction Cognitive impairment and exercise intolerance are common in dialysis patients. Cerebral perfusion and oxygenation play a major role in both cognitive function and exercise execution; HD session per se aggravates cerebral ischemia in this population. This study aimed to compare cerebral oxygenation and perfusion at rest and in mild
Marieta P. Theodorakopoulou +10 more
wiley +1 more source
Predictive and holistic energy distribution for hybrid electric vehicles
The improvement of the efficiency of vehicle energy systems stimulate active search to find innovative solutions during the design process. Engineers can use computer-aided processes to find automatically the best design solutions.
Dimitrova Zlatina
doaj +1 more source
The application of spatial modelling to epidemiology has increased significantly over the past decade, delivering enhanced understanding of the environmental and climatic factors affecting disease distributions and providing spatially continuous ...
Nicola A. Wardrop +3 more
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