Modelling Simulation And Control Of Stochastic Systems
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Modelling Simulation And Control Of Stochastic Systems
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Author : C. J. Harris
language : en
Publisher:
Release Date : 1976
Modelling Simulation And Control Of Stochastic Systems written by C. J. Harris and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with Sewage disposal plants categories.
Stochastic Systems For Engineers
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Author : John A. Borrie
language : en
Publisher:
Release Date : 1992
Stochastic Systems For Engineers written by John A. Borrie and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Mathematics categories.
A self-contained introduction to stochastic systems and an ordered presentation of techniques for computer modelling, filtering and control of these systems. The subject is developed with definition, formulae and explanations but without detailed mathematical proofs.
Modeling Analysis Design And Control Of Stochastic Systems
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Author : V. G. Kulkarni
language : en
Publisher: Springer
Release Date : 2014-01-13
Modeling Analysis Design And Control Of Stochastic Systems written by V. G. Kulkarni and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-13 with Technology & Engineering categories.
An introductory level text on stochastic modelling, suited for undergraduates or graduates in actuarial science, business management, computer science, engineering, operations research, public policy, statistics, and mathematics. It employs a large number of examples to show how to build stochastic models of physical systems, analyse these models to predict their performance, and use the analysis to design and control them. The book provides a self-contained review of the relevant topics in probability theory: In discrete and continuous time Markov models it covers the transient and long term behaviour, cost models, and first passage times; under generalised Markov models, it covers renewal processes, cumulative processes and semi-Markov processes. All the material is illustrated with many examples, and the book emphasises numerical answers to the problems. A software package called MAXIM, which runs on MATLAB, is available for downloading.
Modeling Uncertainty
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Author : Moshe Dror
language : en
Publisher: Springer
Release Date : 2019-11-05
Modeling Uncertainty written by Moshe Dror and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-05 with Mathematics categories.
Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends and colleagues of Sid Yakowitz in his honor. Fifty internationally known scholars have collectively contributed 30 papers on modeling uncertainty to this volume. Each of these papers was carefully reviewed and in the majority of cases the original submission was revised before being accepted for publication in the book. The papers cover a great variety of topics in probability, statistics, economics, stochastic optimization, control theory, regression analysis, simulation, stochastic programming, Markov decision process, application in the HIV context, and others. There are papers with a theoretical emphasis and others that focus on applications. A number of papers survey the work in a particular area and in a few papers the authors present their personal view of a topic. It is a book with a considerable number of expository articles, which are accessible to a nonexpert - a graduate student in mathematics, statistics, engineering, and economics departments, or just anyone with some mathematical background who is interested in a preliminary exposition of a particular topic. Many of the papers present the state of the art of a specific area or represent original contributions which advance the present state of knowledge. In sum, it is a book of considerable interest to a broad range of academic researchers and students of stochastic systems.
Stochastic Modeling And Control
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Author : Ivan Ivanov
language : en
Publisher: BoD – Books on Demand
Release Date : 2012-11-28
Stochastic Modeling And Control written by Ivan Ivanov and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-28 with Mathematics categories.
Stochastic control plays an important role in many scientific and applied disciplines including communications, engineering, medicine, finance and many others. It is one of the effective methods being used to find optimal decision-making strategies in applications. The book provides a collection of outstanding investigations in various aspects of stochastic systems and their behavior. The book provides a self-contained treatment on practical aspects of stochastic modeling and calculus including applications drawn from engineering, statistics, and computer science. Readers should be familiar with basic probability theory and have a working knowledge of stochastic calculus. PhD students and researchers in stochastic control will find this book useful.
Modeling And Management Of Stochastic Systems
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Author : William Taylor
language : en
Publisher:
Release Date : 2015-01-20
Modeling And Management Of Stochastic Systems written by William Taylor and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-20 with Technology & Engineering categories.
Stochastic control deals with the uncertainties in data observation playing a crucial role in data evolution. Stochastic control plays a crucial role in a number of scientific and applied disciplines including engineering, finance, communications and medicine. Stochastic modeling is one of the most useful techniques for formulation of optimal decision-making strategies in applications. This book provides a compilation of exceptional investigations in different aspects of stochastic systems and their behavior. It presents a distinct analysis on practical aspects of calculus and stochastic modeling including applications derived from computer science, engineering and statistics. This book will be of great utility to readers with knowledge about stochastic calculus and basic probability theory. It will specifically serve as a useful resource for PhD students and researchers in stochastic control.
Introduction To Modeling And Analysis Of Stochastic Systems
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Author : V. G. Kulkarni
language : en
Publisher: Springer
Release Date : 2010-11-03
Introduction To Modeling And Analysis Of Stochastic Systems written by V. G. Kulkarni and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-03 with Mathematics categories.
This book provides a self-contained review of all the relevant topics in probability theory. A software package called MAXIM, which runs on MATLAB, is made available for downloading. Vidyadhar G. Kulkarni is Professor of Operations Research at the University of North Carolina at Chapel Hill.
Stochastic Discrete Event Systems
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Author : Armin Zimmermann
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-12
Stochastic Discrete Event Systems written by Armin Zimmermann and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-12 with Computers categories.
Stochastic discrete-event systems (SDES) capture the randomness in choices due to activity delays and the probabilities of decisions. This book delivers a comprehensive overview on modeling with a quantitative evaluation of SDES. It presents an abstract model class for SDES as a pivotal unifying result and details important model classes. The book also includes nontrivial examples to explain real-world applications of SDES.
Modelling And Simulation Of Stochastic Systems With Spsim
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Author : H. W. Jochens
language : en
Publisher:
Release Date : 1989
Modelling And Simulation Of Stochastic Systems With Spsim written by H. W. Jochens and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with categories.
Foundations And Methods Of Stochastic Simulation
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Author : Barry Nelson
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-01-31
Foundations And Methods Of Stochastic Simulation written by Barry Nelson and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-31 with Business & Economics categories.
This graduate-level text covers modeling, programming and analysis of simulation experiments and provides a rigorous treatment of the foundations of simulation and why it works. It introduces object-oriented programming for simulation, covers both the probabilistic and statistical basis for simulation in a rigorous but accessible manner (providing all necessary background material); and provides a modern treatment of experiment design and analysis that goes beyond classical statistics. The book emphasizes essential foundations throughout, rather than providing a compendium of algorithms and theorems and prepares the reader to use simulation in research as well as practice. The book is a rigorous, but concise treatment, emphasizing lasting principles but also providing specific training in modeling, programming and analysis. In addition to teaching readers how to do simulation, it also prepares them to use simulation in their research; no other book does this. An online solutions manual for end of chapter exercises is also provided.