Probabilistic Modeling, Estimation and Control for CALS Organization-Technical-Economic Systems

Probabilistic Modeling, Estimation and Control for CALS Organization-Technical-Economic Systems

Author: Igor N. Sinitsyn

Publisher:

Published: 2019

Total Pages: 0

ISBN-13:

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Theoretical propositions of new probabilistic methodology of analysis, modeling, estimation and control in stochastic organizational-technical-economic systems (OTES) based on stochastic CALS informational technologies are considered. Stochastic integrated logistic support (ILS) of OTES modeling life cycle (LC), stochastic optimal of current state estimation in stochastic media defined by internal and external noises (including specially organized OTES-NS (noise support) and stochastic OTES optimal control) according to social-technical-economic-support criteria in real time by informational-analytical tools (IAT) of global type are presented. OTES-CALS are nonlinear and continuous-discrete. So we use approximate methods of normal approximation of probabilistic densities both for modeling and estimation. Spectrum of possibilities may be broaden by solving problems of OTES-CALS integration for existing markets of finances, goods and services. Analytical modeling, analysis, parametric optimization and optimal stochastic processes regulation in limits of illustrate some technologies and IAT given plans.


Modeling, Estimation and Control of Systems with Uncertainty

Modeling, Estimation and Control of Systems with Uncertainty

Author: G.B. DiMasi

Publisher: Springer Science & Business Media

Published: 2013-03-12

Total Pages: 478

ISBN-13: 1461204437

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This volume contains the papers that have been presented at the Conference on Modeling and Control of Uncertain Systems held in Sopron, Hungary on September 3-7, 1990, organised within the framework of the activities of the System and Decision Sciences Program of IIASA - the International Institute for Applied Systems Analysis. The importance of the subject has drawn the attention of researchers all over the world since several years. In fact, in most actual applications the knowledge about the system under investigation presents aspects of uncertainty due to measurement errors or poor understanding of the rele vant underlying mechanisms. For this reason models that take into account these intrinsic uncertainties have been used and techniques for the analysis of their behavior as well as for their estimation and control have been devel oped. The main ways to deal with uncertainty consist in its description by stochastic processes or in terms of set-valued dynamics and this volume col lects relevant contributions in both directions. However, in order to avoid undesirable distinctions between these approaches, but on the contrary to stress the unity of ideas, we decided to organize the papers according to the alphabetical order of their authors. We should like to take this opportunity to thank IIASA for supporting the Conference and the Hungarian National Member Organization for the kind hospitality in Sopron. Finally we would like to express our gratitude to Ms. Donna Huchthausen for her valuable secretarial assistance. Vienna, February 20, 1991 GIOVANNI B.


Modeling and Control of Economic Systems 2001

Modeling and Control of Economic Systems 2001

Author: R. Neck

Publisher: Elsevier

Published: 2003-05-21

Total Pages: 443

ISBN-13: 008053659X

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This volume contains papers presented at the IFAC symposium on Modeling and control of Economic Systems (SME 2001), which was held at the university of Klagenfurt, Austria. The symposium brought together scientists and users to explore current theoretical developments of modeling techniques for economic systems. It contains a section of plenary, invited and contributed papers presented at the SME 2001 symposium. The papers presented in this volume reflect advances both in methodology and in applications in the area of modeling and control of economic systems.


Modeling Dynamic Economic Systems

Modeling Dynamic Economic Systems

Author: Matthias Ruth

Publisher: Springer Science & Business Media

Published: 2012-02-08

Total Pages: 324

ISBN-13: 1461422094

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This book explores the dynamic processes in economic systems, concentrating on the extraction and use of the natural resources required to meet economic needs. Sections cover methods for dynamic modeling in economics, microeconomic models of firms, modeling optimal use of both nonrenewable and renewable resources, and chaos in economic models. This book does not require a substantial background in mathematics or computer science.


Computational Economics: Heterogeneous Agent Modeling

Computational Economics: Heterogeneous Agent Modeling

Author: Cars Hommes

Publisher: Elsevier

Published: 2018-06-27

Total Pages: 836

ISBN-13: 0444641327

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Handbook of Computational Economics: Heterogeneous Agent Modeling, Volume Four, focuses on heterogeneous agent models, emphasizing recent advances in macroeconomics (including DSGE), finance, empirical validation and experiments, networks and related applications. Capturing the advances made since the publication of Volume Two (Tesfatsion & Judd, 2006), it provides high-level literature with sections devoted to Macroeconomics, Finance, Empirical Validation and Experiments, Networks, and other applications, including Innovation Diffusion in Heterogeneous Populations, Market Design and Electricity Markets, and a final section on Perspectives on Heterogeneity. Helps readers fully understand the dynamic properties of realistically rendered economic systems Emphasizes detailed specifications of structural conditions, institutional arrangements and behavioral dispositions Provides broad assessments that can lead researchers to recognize new synergies and opportunities


Economic Models, Estimation and Risk Programming

Economic Models, Estimation and Risk Programming

Author: K. A. S. Fox

Publisher:

Published: 1969

Total Pages: 0

ISBN-13: 9783642461996

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These essays in honor of Professor Gerhard Tintner are substantive contributions to three areas of econometrics, (1) economic models and applications, . (2) estimation, and (3) stochastic programming, in each of which he has labored with outstanding success. His own work has extended into multivariate analysis, the pure theory of decision-making under un certainty, and other fields which are not touched upon here for reasons of space and focus. Thus, this collection is appropriate to his interests but covers much less than their full range. Professor Tintner's contributions to econometrics through teaching, writing, editing, lecturing and consulting have been varied and inter national. We have tried to highlight them in "The Econometric Work of Gerhard Tintner" and to place them in historical perspective in "The Invisible Revolution in Economics: Emergence of a Mathematical Science. " Professor Tintner's career to date has spanned the organizational life of the Econometric Society and his contributions have been nearly coextensive with its scope. His principal books and articles up to 1968 are listed in the "Selected Bibliography. " Professor Tintner's current research involves the intricate problems of specification and application of stochastic processes to economic systems, particularly to growth, diffusion of technology, and optimal control. As always, he is moving with the econometric frontier and a portion of the frontier is moving with him. IV Two of the editors wrote dissertations under Professor Tintner's sup- vision; the third knew him as a colleague and friend."


Modelling Economic Systems

Modelling Economic Systems

Author: Alan Gully

Publisher: Chapman & Hall

Published: 1996

Total Pages: 270

ISBN-13:

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This book will enable students to use a computer as a tool to analyse, model and solve economic and business problems. The book will: develop an understanding of the methods and problems involved in the design and construction of computer-based models of economic systems; explain the features and use of a spreadsheet package (focusing on Quattro-Pro for Windows); and critically examine the design, construction and use of spreadsheet-based models in several areas of economics and business. The book integrates material by concentrating on practical issues of model-building and problem-solving, and illustrates the use of spreadsheet software throughout. Case studies and examples can be worked through on-screen once the underlying theory has been assimilated.


System Dynamics in Economic and Financial Models

System Dynamics in Economic and Financial Models

Author: Christiaan Heij

Publisher: Wiley

Published: 1997-12-05

Total Pages: 408

ISBN-13:

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System Dynamics in Economic and Financial Models Edited by Christiaan Heij, Hans Schumacher, Bernard Hanzon and Kees Praagman System Dynamics in Economic and Financial Models discusses different approaches for dynamic modelling of economic and financial data, and includes empirical applications, particularly in finance and macroeconomics, to illustrate the methods discussed. Written by leading experts from a wide range of backgrounds, varying from econometries and finance to systems and control, each chapter is followed by a comments section that presents alternative and sometimes contrasting points of view. The authors look at the interface between economics and finance, and examine topics including non-linear dynamics chaos structural change trends and cointegration general methodologies in empirical modelling