Results 61 to 70 of about 1,054,958 (169)
Model-Free Predictive Control of Motor Drives: A Review
CES Transactions on Electrical Machines and SystemsModel predictive control (MPC) has been deemed as an attractive control method in motor drives by virtue of its simple structure, convenient multi-objective optimization, and satisfactory dynamic performance.
Chenhui Zhou +2 more
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A model of bankruptcy prediction
, 2001 By this thesis Eivind Bernhardsen completed his cand.oecon. degree at the University of Oslo. The thesis was financed by Norges Bank and was written as a part of a project on the development of supervisory credit risk models.
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Міжнародний науково-технічний журнал "Проблеми керування та інформатики"The article is devoted to one of the relatively new areas in the field of control theory and practice, called model predictive control. The ideas underlying it, the connection with the theory of optimal control and numerical methods for solving ...
Вячеслав Федорович Губарев +1 more
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Models for Understanding Versus Models for Prediction [PDF]
, 2008 According to a standard point of view, statistical modelling consists in establishing a parsimonious representation of a random phenomenon, generally based upon the knowledge of an expert of the application field: the aim of a model is to provide a better understanding of data and of the underlying mechanism which have produced it.
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Comparison of Linear MPC and Explicit MPC for Battery Cell Balancing Control
AlgorithmsThis paper presents and compares two model predictive control (MPC) approaches for battery cell state-of-charge (SOC) balancing. In both approaches, a linearized discrete-time model that takes into account individual cell capacities is used.
Wanqun Yang, Jun Chen
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Hybrid Data-Enabled Predictive Control: Incorporating Model Knowledge Into the DeePC
IEEE Open Journal of Control SystemsPredictive control can either be data-based (e.g. data-enabled predictive control, or DeePC) or model-based (model predictive control). In this paper we aim to bridge the gap between the two by investigating the case where only a partial model is ...
Jeremy D. Watson
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Prediction with mixture models.
, 2014 Das Lernen eines Modells für den Zusammenhang zwischen den Eingabeattributen und annotierten Zielattributen von Dateninstanzen dient zwei Zwecken. Einerseits ermöglicht es die Vorhersage des Zielattributs für Instanzen ohne Annotation. Andererseits können die Parameter des Modells nützliche Einsichten in die Struktur der Daten liefern.
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Revista de Contabilidad: Spanish Accounting Review, 2002 En el presente trabajo se ofrece una revisión crítica de una de las áreas más importantes dentro de la investigación centrada en los mercados de capitales, cual es la relativa a la utilidad de la información financiera para la predicción de los ...
Carmelo Reverte Maya
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Disclosure of Prediction Model
Journal of Clinical Oncology, 2023 Frits I. Mulder +3 more
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International Journal of COPD, 2018 Srinivas Annavarapu,1 Seth Goldfarb,1 Melissa Gelb,2 Chad Moretz,1 Andrew Renda,3 Shuchita Kaila2 1Comprehensive Health Insights, Louisville, KY, 2Boehringer Ingelheim, Ridgefield, CT, 3Humana, Louisville, KY, USA Background: Patients with COPD often ...
Annavarapu S +5 more
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