Dynamic Systems Models: New Methods of Parameter and State Estimation, Boguslavskiy Josif A., Borodovsky Mark

Автор: Bernard C. Levy
Название: Principles of Signal Detection and Parameter Estimation
ISBN: 1441945652 ISBN-13(EAN): 9781441945655
Издательство: Springer
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Цена: 69650.00 T
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Описание: This comprehensive text addresses signal processing and communication applications with an emphasis on fundamental principles. It also looks at recent advances in the field such as sequential testing, Gaussian and Robust detection, and detection of Markov Chains.

Автор: Ta-Hsin Li
Название: Parameter Estimation of Sinusodial Signals in Noise: Theory and Methods
ISBN: 1584881763 ISBN-13(EAN): 9781584881766
Издательство: Taylor&Francis
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Цена: 163330.00 T
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Описание: Presents a comprehensive survey of various important methods developed for parameter estimation of sinusoids in noise. This book develops methods and algorithms and balances their explanations with theoretical analysis. It emphasizes intuition and interpretation behind the theoretical reasoning and results.

Автор: H.T. Banks
Название: Control and Estimation in Distributed Parameter Systems
ISBN: 0898712971 ISBN-13(EAN): 9780898712971
Издательство: Mare Nostrum (Eurospan)
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Цена: 120390.00 T
Наличие на складе: Невозможна поставка.
Описание: Research in control and estimation of distributed parameter systems encompasses a wide range of applications including both fundamental science and emerging technologies. These expository papers provide substantial stimulus to both young researchers and experienced investigators in control theory.

Автор: Sun Ne-Zheng, Sun Alexander
Название: Model Calibration and Parameter Estimation: For Environmental and Water Resource Systems
ISBN: 1493940929 ISBN-13(EAN): 9781493940929
Издательство: Springer
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Цена: 139750.00 T
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Описание: This three-part book provides a comprehensive and systematic introduction to these challenging topics such as model calibration, parameter estimation, reliability assessment, and data collection design.

Автор: W. Desch; F. Kappel; K. Kunisch
Название: Control and Estimation of Distributed Parameter Systems
ISBN: 3034898002 ISBN-13(EAN): 9783034898003
Издательство: Springer
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Цена: 93160.00 T
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Описание: Consisting of 23 refereed contributions, this volume offers a broad and diverse view of current research in control and estimation of partial differential equations. Topics addressed include, but are not limited to - control and stability of hyperbolic systems related to elasticity, linear and nonlinear;

Автор: Wolfgang Desch; Franz Kappel; Karl Kunisch
Название: Control and Estimation of Distributed Parameter Systems
ISBN: 303489399X ISBN-13(EAN): 9783034893992
Издательство: Springer
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Цена: 93160.00 T
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Описание: Consisting of 16 refereed original contributions, this volume presents a diversified collection of recent results in control of distributed parameter systems. Topics addressed include - optimal control in fluid mechanics - numerical methods for optimal control of partial differential equations - modeling and control of shells - level set methods - mesh adaptation for parameter estimation problems - shape optimization Advanced graduate students and researchers will find the book an excellent guide to the forefront of control and estimation of distributed parameter systems.

Автор: Wolfgang Desch; Franz Kappel; Karl Kunisch
Название: Control and Estimation of Distributed Parameter Systems: Nonlinear Phenomena
ISBN: 3034896662 ISBN-13(EAN): 9783034896665
Издательство: Springer
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Цена: 46570.00 T
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Описание: 22 papers on control of nonlinear partial differential equations highlight the area from a broad variety of viewpoints. A significant part of the volume is devoted to applications in engineering, continuum mechanics and population biology.

Автор: Cohen,
Название: Parameter Estimation in Reliability and Life Span Models
ISBN: 036740334X ISBN-13(EAN): 9780367403348
Издательство: Taylor&Francis
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Цена: 44910.00 T
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Описание: Offers an applications-oriented treatment of parameter estimation from both complete and censored samples; contains notations, simplified formats for estimates, graphical techniques, and numerous tables and charts allowing users to calculate estimates and analyze sample data quickly and easily.

Автор: Mohamed Mansour; Silvano Balemi; Werner Tru?l
Название: Robustness of Dynamic Systems with Parameter Uncertainties
ISBN: 3034872704 ISBN-13(EAN): 9783034872706
Издательство: Springer
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Цена: 46570.00 T
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Описание: Robust Control is one of the fastest growing and promising areas of research today. However, this second workshop was restricted to robust control of dynamic systems with parameter uncertainties with the objective to concentrate on some aspects of robust control.

Автор: Seber George A. F., Schofield Matthew R.
Название: Capture-Recapture: Parameter Estimation for Open Animal Populations
ISBN: 3030181898 ISBN-13(EAN): 9783030181895
Издательство: Springer
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Цена: 83850.00 T
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Описание: This comprehensive book, rich with applications, offers a quantitative framework for the analysis of the various capture-recapture models for open animal populations, while also addressing associated computational methods. The state of our wildlife populations provides a litmus test for the state of our environment, especially in light of global warming and the increasing pollution of our land, seas, and air. In addition to monitoring our food resources such as fisheries, we need to protect endangered species from the effects of human activities (e.g. rhinos, whales, or encroachments on the habitat of orangutans). Pests must be be controlled, whether insects or viruses, and we need to cope with growing feral populations such as opossums, rabbits, and pigs. Accordingly, we need to obtain information about a given population’s dynamics, concerning e.g. mortality, birth, growth, breeding, sex, and migration, and determine whether the respective population is increasing , static, or declining. There are many methods for obtaining population information, but the most useful (and most work-intensive) is generically known as “capture-recapture,” where we mark or tag a representative sample of individuals from the population and follow that sample over time using recaptures, resightings, or dead recoveries. Marks can be natural, such as stripes, fin profiles, and even DNA; or artificial, such as spots on insects. Attached tags can, for example, be simple bands or streamers, or more sophisticated variants such as radio and sonic transmitters. To estimate population parameters, sophisticated and complex mathematical models have been devised on the basis of recapture information and computer packages. This book addresses the analysis of such models. It is primarily intended for ecologists and wildlife managers who wish to apply the methods to the types of problems discussed above, though it will also benefit researchers and graduate students in ecology. Familiarity with basic statistical concepts is essential.

Автор: Hans Georg Bock; Thomas Carraro; Willi J?ger; Stef
Название: Model Based Parameter Estimation
ISBN: 3642440762 ISBN-13(EAN): 9783642440762
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book features papers from a workshop on parameter estimation held in 2009 in Heidelberg. It combines mathematical and numerical methods to apply parameter estimation and optimum experimental design in a range of contexts.

Автор: Jaya P. N. Bishwal
Название: Parameter Estimation in Stochastic Differential Equations
ISBN: 3540744479 ISBN-13(EAN): 9783540744474
Издательство: Springer
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Цена: 41880.00 T
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Описание: Presents the estimation of the unknown parameters in the corresponding continuous models based on continuous and discrete observations and examines extensively maximum likelihood, minimum contrast and Bayesian methods.