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Predictive Modeling and Risk Assessment, Rui Costa


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Цена: 15672.00р.
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Автор: Rui Costa
Название:  Predictive Modeling and Risk Assessment
ISBN: 9781441941350
Издательство: Springer
Классификация:

ISBN-10: 1441941355
Обложка/Формат: Paperback
Страницы: 252
Вес: 0.39 кг.
Дата издания: 23.11.2010
Серия: Integrating Food Science and Engineering Knowledge Into the Food Chain
Язык: English
Размер: 234 x 156 x 15
Основная тема: Chemistry
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The single most important task of food scientists and the food industry as a whole is to ensure the safety of foods supplied to consumers.


Predictive Control for Linear and Hybrid Systems

Автор: Borrelli
Название: Predictive Control for Linear and Hybrid Systems
ISBN: 1107652871 ISBN-13(EAN): 9781107652873
Издательство: Cambridge Academ
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Цена: 9502.00 р.
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Описание: With a simple, unified approach, and with consideration of real-time applications, this book covers the theory of stability, feasibility, and robustness of model predictive control (MPC). It is for graduate and postgraduate students, as well as advanced control practitioners interested in the theory and/or implementation of predictive control.

Model Predictive Control System Design and Implementation Using MATLAB®

Автор: Liuping Wang
Название: Model Predictive Control System Design and Implementation Using MATLAB®
ISBN: 1849968365 ISBN-13(EAN): 9781849968362
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book proposes methods for the design and implementation of MPC systems using basis functions that confer a number of advantages. As well as presenting the theory, the author covers industrial applications and explains the subject of quadratic programming.

Design and Analysis of Clinical Trials for Predictive Medicine

Автор: Matsui Shigeyuki
Название: Design and Analysis of Clinical Trials for Predictive Medicine
ISBN: 1466558156 ISBN-13(EAN): 9781466558151
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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Описание:

Design and Analysis of Clinical Trials for Predictive Medicine provides statistical guidance on conducting clinical trials for predictive medicine. It covers statistical topics relevant to the main clinical research phases for developing molecular diagnostics and therapeutics--from identifying molecular biomarkers using DNA microarrays to confirming their clinical utility in randomized clinical trials.

The foundation of modern clinical trials was laid many years before modern developments in biotechnology and genomics. Drug development in many diseases is now shifting to molecularly targeted treatment. Confronted with such a major break in the evolution toward personalized or predictive medicine, the methodologies for design and analysis of clinical trials is now evolving.

This book is one of the first attempts to contribute to this evolution by laying a foundation for the use of appropriate statistical designs and methods in future clinical trials for predictive medicine. It is a useful resource for clinical biostatisticians, researchers focusing on predictive medicine, clinical investigators, translational scientists, and graduate biostatistics students.

Model Predictive Control

Автор: Camacho
Название: Model Predictive Control
ISBN: 1852336943 ISBN-13(EAN): 9781852336943
Издательство: Springer
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Цена: 9781.00 р.
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Описание: The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners.

Nonlinear Model Predictive Control

Автор: Grune
Название: Nonlinear Model Predictive Control
ISBN: 0857295004 ISBN-13(EAN): 9780857295002
Издательство: Springer
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Цена: 22359.00 р.
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Описание: Nonlinear Model Predictive Control is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. NMPC schemes with and without stabilizing terminal constraints are detailed and intuitive examples illustrate the performance of different NMPC variants. An introduction to nonlinear optimal control algorithms gives insight into how the nonlinear optimisation routine – the core of any NMPC controller – works. An appendix covering NMPC software and accompanying software in MATLAB® and C++(downloadable from www.springer.com/ISBN) enables readers to perform computer experiments exploring the possibilities and limitations of NMPC.

Predictive Process Control of Crowded Particulate Suspensions

Автор: James E. Funk; Dennis R. Dinger
Название: Predictive Process Control of Crowded Particulate Suspensions
ISBN: 0792394097 ISBN-13(EAN): 9780792394099
Издательство: Springer
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Цена: 65305.00 р.
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Описание: Covers the cause and effect relationships between fundamental particle physics of powders, fundamental interparticle chemistry in suspensions, and the resulting rheology of crowded suspensions. This book applies these fundamentals to ceramic forming processes and explains why variations in performance occur and how to correct for them.

Predictive Control for Linear and Hybrid Systems

Автор: Borrelli
Название: Predictive Control for Linear and Hybrid Systems
ISBN: 1107016886 ISBN-13(EAN): 9781107016880
Издательство: Cambridge Academ
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Цена: 19800.00 р.
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Описание: Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory including the stability, feasibility, and robustness of MPC controllers. The theory of explicit MPC, where the nonlinear optimal feedback controller can be calculated efficiently, is presented in the context of linear systems with linear constraints, switched linear systems, and, more generally, linear hybrid systems. Drawing upon years of practical experience and using numerous examples and illustrative applications, the authors discuss the techniques required to design predictive control laws, including algorithms for polyhedral manipulations, mathematical and multiparametric programming and how to validate the theoretical properties and to implement predictive control policies. The most important algorithms feature in an accompanying free online MATLAB toolbox, which allows easy access to sample solutions. Predictive Control for Linear and Hybrid Systems is an ideal reference for graduate, postgraduate and advanced control practitioners interested in theory and/or implementation aspects of predictive control.

Case Studies in Novel Food Processing Technologies: Innovations in Processing, Packaging, and Predictive Modelling

Автор: Doona Christopher, Kustin Kenneth, Feeherry Florence
Название: Case Studies in Novel Food Processing Technologies: Innovations in Processing, Packaging, and Predictive Modelling
ISBN: 0081014821 ISBN-13(EAN): 9780081014820
Издательство: Elsevier Science
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Цена: 35708.00 р.
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Описание: Novel food processing technologies have significant potential to improve product quality and process efficiency. Commercialisation of new products and processes brings exciting opportunities and interesting challenges. Case studies in novel food processing technologies provides insightful, first-hand experiences of many pioneering experts involved in the development and commercialisation of foods produced by novel processing technologies.Part one presents case studies of commercial products preserved with the leading nonthermal technologies of high pressure processing and pulsed electric field processing. Part two broadens the case histories to include alternative novel techniques, such as dense phase carbon dioxide, ozone, ultrasonics, cool plasma, and infrared technologies, which are applied in food preservation sectors ranging from fresh produce, to juices, to disinfestation. Part three covers novel food preservation techniques using natural antimicrobials, novel food packaging technologies, and oxygen depleted storage techniques. Part four contains case studies of innovations in retort technology, microwave heating, and predictive modelling that compare thermal versus non-thermal processes, and evaluate an accelerated 3-year challenge test.With its team of distinguished editors and international contributors, Case studies in novel food processing technologies is an essential reference for professionals in industry, academia, and government involved in all aspects of research, development and commercialisation of novel food processing technologies.

Predictive Functional Control

Автор: Karl E. ?str?m; Jacques Richalet; Donal O`Donovan
Название: Predictive Functional Control
ISBN: 1849968454 ISBN-13(EAN): 9781849968454
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The last forty years have seen thousands of successful industrial applications of Predictive Functional Control controllers. This text offers a fundamental understanding of the principles of PFCs as well as numerous examples of industrial applications.

Predictive ADMET: Integrated Approaches in Drug Discovery and Development

Автор: Wang
Название: Predictive ADMET: Integrated Approaches in Drug Discovery and Development
ISBN: 1118299922 ISBN-13(EAN): 9781118299920
Издательство: Wiley
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Цена: 21376.00 р.
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Описание: By guiding in the application of techniques and tools for predicting ADMET outcomes in drug candidates, Predictive ADMET offers a road map for drug discovery scientists to generate effective and safe drugs for unmet medical needs.

Economic Model Predictive Control

Автор: Ellis
Название: Economic Model Predictive Control
ISBN: 3319411071 ISBN-13(EAN): 9783319411071
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational efficiency. Specifically, the book proposes:Lyapunov-based EMPC methods for nonlinear systems; two-tier EMPC architectures that are highly computationally efficient; and EMPC schemes handling explicitly uncertainty, time-varying cost functions, time-delays and multiple-time-scale dynamics.The proposed methods employ a variety of tools ranging from nonlinear systems analysis, through Lyapunov-based control techniques to nonlinear dynamic optimization. The applicability and performance of the proposed methods are demonstrated through a number of chemical process examples.The book presents state-of-the-art methods for the design of economic model predictive control systems for chemical processes.In addition to being mathematically rigorous, these methods accommodate key practical issues, for example, direct optimization of process economics, time-varying economic cost functions and computational efficiency. Numerous comments and remarks providing fundamental understanding of the merging of process economics and feedback control into a single framework are included. A control engineer can easily tailor the many detailed examples of industrial relevance given within the text to a specific application.The authors present a rich collection of new research topics and references to significant recent work making Economic Model Predictive Control an important source of information and inspiration for academics and graduate students researching the area and for process engineers interested in applying its ideas.

Networked and Distributed Predictive Control

Автор: Panagiotis D. Christofides; Jinfeng Liu; David Mu?
Название: Networked and Distributed Predictive Control
ISBN: 1447126483 ISBN-13(EAN): 9781447126485
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book offers rigorous, yet practical, methods for the design of networked and distributed predictive control systems, including new techniques for system design, insight into likely issues and challenges, and integrated exposition of novel research topics.


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