Predictive Modeling Of Dynamic Processes
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Predictive Modeling Of Dynamic Processes
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Author : Stefan Hiermaier
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-07-09
Predictive Modeling Of Dynamic Processes written by Stefan Hiermaier 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 2009-07-09 with Science categories.
Predictive Modeling of Dynamic Processes provides an overview of hydrocode technology, applicable to a variety of industries and areas of engineering design. Covering automotive crash, blast impact, and hypervelocity impact phenomena, this volume offers readers an in-depth explanation of the fundamental code components. Chapters include informative introductions to each topic, and explain the specific requirements pertaining to each predictive hydrocode. Successfully blending crash simulation, hydrocode technology and impact engineering, this volume fills a gap in the current competing literature available.
Predictive Modeling Of Dynamic Processes
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Author : Stefan Hiermaier
language : en
Publisher: Springer
Release Date : 2016-05-01
Predictive Modeling Of Dynamic Processes written by Stefan Hiermaier and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-01 with categories.
This work provides an overview of hydrocode technology, applicable to a variety of industries and areas of engineering design. It successfully blends crash simulations with hydrocode technology, and offers an explanation of the fundamental code components.
Modeling And Control Of Batch Processes
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Author : Prashant Mhaskar
language : en
Publisher: Springer
Release Date : 2018-11-28
Modeling And Control Of Batch Processes written by Prashant Mhaskar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-28 with Technology & Engineering categories.
Modeling and Control of Batch Processes presents state-of-the-art techniques ranging from mechanistic to data-driven models. These methods are specifically tailored to handle issues pertinent to batch processes, such as nonlinear dynamics and lack of online quality measurements. In particular, the book proposes: a novel batch control design with well characterized feasibility properties; a modeling approach that unites multi-model and partial least squares techniques; a generalization of the subspace identification approach for batch processes; and applications to several detailed case studies, ranging from a complex simulation test bed to industrial data. The book’s proposed methodology employs statistical tools, such as partial least squares and subspace identification, and couples them with notions from state-space-based models to provide solutions to the quality control problem for batch processes. Practical implementation issues are discussed to help readers understand the application of the methods in greater depth. The book includes numerous comments and remarks providing insight and fundamental understanding into the modeling and control of batch processes. Modeling and Control of Batch Processes includes many detailed examples of industrial relevance that can be tailored by process control engineers or researchers to a specific application. The book is also of interest to graduate students studying control systems, as it contains new research topics and references to significant recent work. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Dynamic Process Modeling
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Author :
language : en
Publisher: John Wiley & Sons
Release Date : 2013-10-02
Dynamic Process Modeling written by and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-02 with Technology & Engineering categories.
Inspired by the leading authority in the field, the Centre for Process Systems Engineering at Imperial College London, this book includes theoretical developments, algorithms, methodologies and tools in process systems engineering and applications from the chemical, energy, molecular, biomedical and other areas. It spans a whole range of length scales seen in manufacturing industries, from molecular and nanoscale phenomena to enterprise-wide optimization and control. As such, this will appeal to a broad readership, since the topic applies not only to all technical processes but also due to the interdisciplinary expertise required to solve the challenge. The ultimate reference work for years to come.
Dynamic Modeling Of Complex Industrial Processes Data Driven Methods And Application Research
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Author : Chao Shang
language : en
Publisher: Springer
Release Date : 2018-02-22
Dynamic Modeling Of Complex Industrial Processes Data Driven Methods And Application Research written by Chao Shang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-22 with Technology & Engineering categories.
This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring and quality prediction problems in industrial production contexts. The thesis reveals the slowly varying nature of industrial production processes under feedback control, and integrates it with process data analytics to offer powerful prior knowledge that gives rise to statistical methods tailored to industrial data. It addresses several issues of immediate interest in industrial practice, including process monitoring, control performance assessment and diagnosis, monitoring system design, and product quality prediction. In particular, it proposes a holistic and pragmatic design framework for industrial monitoring systems, which delivers effective elimination of false alarms, as well as intelligent self-running by fully utilizing the information underlying the data. One of the strengths of this thesis is its integration of insights from statistics, machine learning, control theory and engineering to provide a new scheme for industrial process modeling in the era of big data.
Dynamic Modeling Predictive Control And Performance Monitoring
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Author : Biao Huang
language : en
Publisher: Springer
Release Date : 2009-10-12
Dynamic Modeling Predictive Control And Performance Monitoring written by Biao Huang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-12 with Technology & Engineering categories.
A typical design procedure for model predictive control or control performance monitoring consists of: 1. identification of a parametric or nonparametric model; 2. derivation of the output predictor from the model; 3. design of the control law or calculation of performance indices according to the predictor. Both design problems need an explicit model form and both require this three-step design procedure. Can this design procedure be simplified? Can an explicit model be avoided? With these questions in mind, the authors eliminate the first and second step of the above design procedure, a “data-driven” approach in the sense that no traditional parametric models are used; hence, the intermediate subspace matrices, which are obtained from the process data and otherwise identified as a first step in the subspace identification methods, are used directly for the designs. Without using an explicit model, the design procedure is simplified and the modelling error caused by parameterization is eliminated.
Personalized Predictive Modeling In Type 1 Diabetes
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Author : Eleni I. Georga
language : en
Publisher: Academic Press
Release Date : 2017-12-11
Personalized Predictive Modeling In Type 1 Diabetes written by Eleni I. Georga and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-11 with Medical categories.
Personalized Predictive Modeling in Diabetes features state-of-the-art methodologies and algorithmic approaches which have been applied to predictive modeling of glucose concentration, ranging from simple autoregressive models of the CGM time series to multivariate nonlinear regression techniques of machine learning. Developments in the field have been analyzed with respect to: (i) feature set (univariate or multivariate), (ii) regression technique (linear or non-linear), (iii) learning mechanism (batch or sequential), (iv) development and testing procedure and (v) scaling properties. In addition, simulation models of meal-derived glucose absorption and insulin dynamics and kinetics are covered, as an integral part of glucose predictive models. This book will help engineers and clinicians to: select a regression technique which can capture both linear and non-linear dynamics in glucose metabolism in diabetes, and which exhibits good generalization performance under stationary and non-stationary conditions; ensure the scalability of the optimization algorithm (learning mechanism) with respect to the size of the dataset, provided that multiple days of patient monitoring are needed to obtain a reliable predictive model; select a features set which efficiently represents both spatial and temporal dependencies between the input variables and the glucose concentration; select simulation models of subcutaneous insulin absorption and meal absorption; identify an appropriate validation procedure, and identify realistic performance measures. Describes fundamentals of modeling techniques as applied to glucose control Covers model selection process and model validation Offers computer code on a companion website to show implementation of models and algorithms Features the latest developments in the field of diabetes predictive modeling
Microscopic And Macroscopic Simulation Towards Predictive Modelling Of The Earthquake Process
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Author : Peter Mora
language : en
Publisher: Birkhäuser
Release Date : 2013-11-11
Microscopic And Macroscopic Simulation Towards Predictive Modelling Of The Earthquake Process written by Peter Mora and has been published by Birkhäuser this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Nature categories.
Machine Learning In Python For Dynamic Process Systems
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Author : Ankur Kumar
language : en
Publisher: MLforPSE
Release Date : 2023-06-01
Machine Learning In Python For Dynamic Process Systems written by Ankur Kumar and has been published by MLforPSE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-01 with Computers categories.
This book is designed to help readers gain a working-level knowledge of machine learning-based dynamic process modeling techniques that have proven useful in process industry. Readers can leverage the concepts learned to build advanced solutions for process monitoring, soft sensing, inferential modeling, predictive maintenance, and process control for dynamic systems. The application-focused approach of the book is reader friendly and easily digestible to the practicing and aspiring process engineers, and data scientists. The authors of this book have drawn from their years of experience in developing data-driven industrial solutions to provide a guided tour along the wide range of available ML methods and declutter the world of machine learning for dynamic process modeling. Upon completion, readers will be able to confidently navigate the system identification literature and make judicious selection of modeling approaches suitable for their problems. This book has been divided into three parts. Part 1 of the book provides perspectives on the importance of ML for dynamic process modeling and lays down the basic foundations of ML-DPM (machine learning for dynamic process modeling). Part 2 provides in-detail presentation of classical ML techniques and has been written keeping in mind the different modeling requirements and process characteristics that determine a model’s suitability for a problem at hand. These include, amongst others, presence of multiple correlated outputs, process nonlinearity, need for low model bias, need to model disturbance signal accurately, etc. Part 3 is focused on artificial neural networks and deep learning. The following topics are broadly covered: · Exploratory analysis of dynamic dataset · Best practices for dynamic modeling · Linear and discrete-time classical parametric and non-parametric models · State-space models for MIMO systems · Nonlinear system identification and closed-loop identification · Neural networks-based dynamic process modeling
High Speed Penetration Dynamics
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Author : Gabi Ben-Dor
language : en
Publisher: World Scientific
Release Date : 2013-06-07
High Speed Penetration Dynamics written by Gabi Ben-Dor and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-07 with Technology & Engineering categories.
This important monograph is the first comprehensive compendium of engineering models used in high-speed penetration mechanics. The book consists of two parts. The first part (more than a quarter of the book's content) is in fact a handbook giving a very detailed summary of the engineering models used for the analysis of high-speed penetration of rigid projectiles into various media (concrete, metals, geological media). The second part of the book demonstrates the possibilities and efficiency of using approximate models for investigating traditional and nontraditional problems of penetration mechanics. Different chapters in the books are devoted to different classes of problems and can be read independently. Each chapter is self-contained, which includes a comprehensive literature survey of the topic, and carries a list of used notations. The bibliography includes more than 700 references. This monograph is a reliable and indispensable reference guide for anyone interested in using engineering models in high-speed penetration mechanics. Contents:Some Conventional Approaches to Penetration Modeling:Localized Interaction Models (LIMs)Cavity Expansion ApproximationsPenetration into Concrete Shields:Empirical ModelsAnalytical ModelsPenetration into Metallic Shields:Empirical ModelsAnalytical ModelsPenetration into Geological Shields:Empirical ModelsAnalytical ModelsSome Special Inverse Problems:Theoretical Basis of the MethodApplication to Penetration MechanicsMethod of Basic Impactors for Prediction of Penetration and Perforation:Simplified Version of the MethodComplete Version of the MethodShape Optimization of Impactors:SurveyPenetration with Non-Constant FrictionSemi-Infinite Concrete ShieldsMetal Shields with a Finite ThicknessFiber Reinforced Plastic LaminatesEffectiveness of Segmented Impactors:High-Speed Impact. Simplified Discrete ModelHigh-Speed Impact. Generalized Discrete and Continuous ModelsHypervelocity ImpactModeling and Optimal Control of Impactors with Jet Thruster:Application of Two-Term Model of PenetrationApplication of the Modified Young ModelEffect of Order of Plates, Layering and Spacing on Protective Properties of Ductile Shields:SurveyEffect of Spacing for Non-Conical Impactors. Numerical SimulationEffect of Order of Plates for Non-Conical Impactors. Numerical SimulationEffect of Layering. Theoretical AnalysisOptimization of Multi-Layer ShieldsSome Optimization Problems for Non-Homogeneous Non-Ductile Shields:Optimization of Reinforced Concrete Panels with Steel LinerOptimization of Two-Component Armor against Single and Repeated ImpactsAppendix:Properties of Convex/Concave Increasing Positive Functions Readership: Professionals, academics, researchers and graduate students in engineering mechanics, mechanical engineering, materials science, civil engineering and ocean engineering. Keywords:Impact;Penetration;Perforation;Impactor;Projectile;High Speed;Target;Rod;Cavity Expansion;Armor;Jet ThrusterReviews: “Because there are very few books on this topic, if you are interested in this research area, this is definitely an interesting book.” IEEE Electrical Insulation Magazine