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Robust And Regularized Algorithms For Vehicle Tractive Force Prediction And Mass Estimation
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Book Synopsis Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation by : Rhode, Stephan
Download or read book Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation written by Rhode, Stephan and published by KIT Scientific Publishing. This book was released on 2018-10-01 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work provides novel robust and regularized algorithms for parameter estimation with applications in vehicle tractive force prediction and mass estimation. Given a large record of real world data from test runs on public roads, recursive algorithms adjusted the unknown vehicle parameters under a broad variation of statistical assumptions for two linear gray-box models.
Book Synopsis Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation by : Stephan Rhode
Download or read book Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation written by Stephan Rhode and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models by : Scheubner, Stefan
Download or read book Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models written by Scheubner, Stefan and published by KIT Scientific Publishing. This book was released on 2022-06-03 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work aims at improving the energy consumption forecast of electric vehicles by enhancing the prediction with a notion of uncertainty. The algorithm itself learns from driver and traffic data in a training set to generate accurate, driver-individual energy consumption forecasts.
Book Synopsis Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors by : Masino, Johannes
Download or read book Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors written by Masino, Johannes and published by KIT Scientific Publishing. This book was released on 2021-03-31 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work provides novel methods to process inertial sensor and acoustic sensor data for road condition estimation and monitoring with application in vehicles, which serve as sensor platforms. Furthermore, methods are introduced to combine the results from various vehicles for a more reliable estimation.
Book Synopsis Numerical prediction of curing and process-induced distortion of composite structures by : Bernath, Alexander
Download or read book Numerical prediction of curing and process-induced distortion of composite structures written by Bernath, Alexander and published by KIT Scientific Publishing. This book was released on 2021-10-29 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fiber-reinforced materials offer a huge potential for lightweight design of load-bearing structures. However, high-volume production of such parts is still a challenge in terms of cost efficiency and competitiveness. Numerical process simulation can be used to analyze underlying mechanisms and to find a suitable process design. In this study, the curing process of the resin is investigated with regard to its influence on RTM mold filling and process-induced distortion.
Book Synopsis Experimental investigation and process simulation of the compression molding process of Sheet Molding Compound (SMC) with local reinforcements by : Hohberg, Martin
Download or read book Experimental investigation and process simulation of the compression molding process of Sheet Molding Compound (SMC) with local reinforcements written by Hohberg, Martin and published by KIT Scientific Publishing. This book was released on 2022-04-05 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, a new three-dimensional approach for the process simulation of SMC is developed. This approach takes into account both, the core layer that is dominated by the extensional viscosity and the thin lubrication layer. In order to transfer the information from the process to the structure simulation, a CAE chain is further developed. In addition, a new rheological tool is developed to analyze flow behavior experimentally and to provide the required material parameters.
Book Synopsis Development of a CO2e quantification method and of solutions for reducing the greenhouse gas emissions of construction machines by : Ays, Isabelle Charlotte
Download or read book Development of a CO2e quantification method and of solutions for reducing the greenhouse gas emissions of construction machines written by Ays, Isabelle Charlotte and published by KIT Scientific Publishing. This book was released on 2022-06-27 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work focuses on the development of a quantification method for GHG (CO2e) emissions from construction machines. The method considers CO2e reduction potentials in the time past-present–future, through influencing factors from six pillars: Machine efficiency, process efficiency, energy source, operating efficiency, material efficiency and CCS. In addition, transformation solutions are proposed to reduce GHG emissions from construction machines like liquid methane, fuel cell drive or CCS.
Book Synopsis Manufacturing-constrained multi-objective optimization of local patch reinforcements for discontinuous fiber reinforced composite parts by : Fengler, Benedikt
Download or read book Manufacturing-constrained multi-objective optimization of local patch reinforcements for discontinuous fiber reinforced composite parts written by Fengler, Benedikt and published by KIT Scientific Publishing. This book was released on 2021-03-31 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this work, contributes to the optimization of local continuous fiber reinforcement patches, under consideration of manufacturing constraints. This approach requires specific optimization strategies. Therefore, an multi-objective optimization strategy for the placement of local reinforcement patches, under consideration of manufacturing constraints, has been developed. During the multi objective optimization, structural and process related objectives are considered.
Book Synopsis Simulation of the thermoforming process of UD fiber-reinforced thermoplastic tape laminates by : Dörr, Dominik
Download or read book Simulation of the thermoforming process of UD fiber-reinforced thermoplastic tape laminates written by Dörr, Dominik and published by KIT Scientific Publishing. This book was released on 2021-10-29 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this work, initially, the requirements on a simulation model of the non-isothermal stamp forming process of unidirectional fiber-reinforced, and thermoplastic tape laminates are investigated experimentally. On this basis, different isothermal as well as a fully coupled thermomechanical simulation model under consideration of the crystallization kinetics are developed. For validation, a complex shaped geometry is simulated and compared to experimental forming results.
Book Synopsis Simulation of damage mechanisms in weave reinforced materials based on multiscale modeling by : Naake, Dominik Robert
Download or read book Simulation of damage mechanisms in weave reinforced materials based on multiscale modeling written by Naake, Dominik Robert and published by KIT Scientific Publishing. This book was released on 2020-09-18 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: A weave reinforced composite material with a thermoplastic matrix is investigated by using a multiscale chain to predict the macroscopic material behavior. A large-strain framework for constitutive modeling with focus on material non-linearities, i.e. plasticity and damage is defined. The ability of the geometric and constitutive models to predict the deformation and failure behavior is demonstrated by means of selected examples.
Book Synopsis Applied Predictive Modeling by : Max Kuhn
Download or read book Applied Predictive Modeling written by Max Kuhn and published by Springer Science & Business Media. This book was released on 2013-05-17 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.
Book Synopsis Physics of Cancer by : Claudia Mierke
Download or read book Physics of Cancer written by Claudia Mierke and published by Iph001. This book was released on 2018-10-24 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: This revised second edition is improved linguistically with multiple increases of the number of figures and the inclusion of several novel chapters such as actin filaments during matrix invasion, microtubuli during migration and matrix invasion, nuclear deformability during migration and matrix invasion, and the active role of the tumor stroma in regulating cell invasion.
Book Synopsis Reinforcement Learning and Dynamic Programming Using Function Approximators by : Lucian Busoniu
Download or read book Reinforcement Learning and Dynamic Programming Using Function Approximators written by Lucian Busoniu and published by CRC Press. This book was released on 2017-07-28 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: From household appliances to applications in robotics, engineered systems involving complex dynamics can only be as effective as the algorithms that control them. While Dynamic Programming (DP) has provided researchers with a way to optimally solve decision and control problems involving complex dynamic systems, its practical value was limited by algorithms that lacked the capacity to scale up to realistic problems. However, in recent years, dramatic developments in Reinforcement Learning (RL), the model-free counterpart of DP, changed our understanding of what is possible. Those developments led to the creation of reliable methods that can be applied even when a mathematical model of the system is unavailable, allowing researchers to solve challenging control problems in engineering, as well as in a variety of other disciplines, including economics, medicine, and artificial intelligence. Reinforcement Learning and Dynamic Programming Using Function Approximators provides a comprehensive and unparalleled exploration of the field of RL and DP. With a focus on continuous-variable problems, this seminal text details essential developments that have substantially altered the field over the past decade. In its pages, pioneering experts provide a concise introduction to classical RL and DP, followed by an extensive presentation of the state-of-the-art and novel methods in RL and DP with approximation. Combining algorithm development with theoretical guarantees, they elaborate on their work with illustrative examples and insightful comparisons. Three individual chapters are dedicated to representative algorithms from each of the major classes of techniques: value iteration, policy iteration, and policy search. The features and performance of these algorithms are highlighted in extensive experimental studies on a range of control applications. The recent development of applications involving complex systems has led to a surge of interest in RL and DP methods and the subsequent need for a quality resource on the subject. For graduate students and others new to the field, this book offers a thorough introduction to both the basics and emerging methods. And for those researchers and practitioners working in the fields of optimal and adaptive control, machine learning, artificial intelligence, and operations research, this resource offers a combination of practical algorithms, theoretical analysis, and comprehensive examples that they will be able to adapt and apply to their own work. Access the authors' website at www.dcsc.tudelft.nl/rlbook/ for additional material, including computer code used in the studies and information concerning new developments.
Book Synopsis Introduction to Embedded Systems, Second Edition by : Edward Ashford Lee
Download or read book Introduction to Embedded Systems, Second Edition written by Edward Ashford Lee and published by MIT Press. This book was released on 2017-01-06 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the engineering principles of embedded systems, with a focus on modeling, design, and analysis of cyber-physical systems. The most visible use of computers and software is processing information for human consumption. The vast majority of computers in use, however, are much less visible. They run the engine, brakes, seatbelts, airbag, and audio system in your car. They digitally encode your voice and construct a radio signal to send it from your cell phone to a base station. They command robots on a factory floor, power generation in a power plant, processes in a chemical plant, and traffic lights in a city. These less visible computers are called embedded systems, and the software they run is called embedded software. The principal challenges in designing and analyzing embedded systems stem from their interaction with physical processes. This book takes a cyber-physical approach to embedded systems, introducing the engineering concepts underlying embedded systems as a technology and as a subject of study. The focus is on modeling, design, and analysis of cyber-physical systems, which integrate computation, networking, and physical processes. The second edition offers two new chapters, several new exercises, and other improvements. The book can be used as a textbook at the advanced undergraduate or introductory graduate level and as a professional reference for practicing engineers and computer scientists. Readers should have some familiarity with machine structures, computer programming, basic discrete mathematics and algorithms, and signals and systems.
Book Synopsis The Anomalous Magnetic Moment of the Muon by : Fred Jegerlehner
Download or read book The Anomalous Magnetic Moment of the Muon written by Fred Jegerlehner and published by Springer Science & Business Media. This book was released on 2008 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the present state of knowledge of the anomalous magnetic moment a=(g-2)/2 of the muon. The muon anomalous magnetic moment is one of the most precisely measured quantities in elementary particle physics and provides one of the most stringent tests of relativistic quantum field theory as a fundamental theoretical framework. It allows for an extremely precise check of the standard model of elementary particles and of its limitations.
Book Synopsis Genetic Algorithms in Search, Optimization, and Machine Learning by : David Edward Goldberg
Download or read book Genetic Algorithms in Search, Optimization, and Machine Learning written by David Edward Goldberg and published by Addison-Wesley Professional. This book was released on 1989 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.
Book Synopsis Future Powertrain Technologies by : Stephan Rinderknecht
Download or read book Future Powertrain Technologies written by Stephan Rinderknecht and published by MDPI. This book was released on 2020-12-17 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Among the various factors greatly influencing the development process of future powertrain technologies, the trends in climate change and digitalization are of huge public interest. To handle these trends, new disruptive technologies are integrated into the development process. They open up space for diverse research which is distributed over the entire vehicle design process. This book contains recent research articles which incorporate results for selecting and designing powertrain topology in consideration of the vehicle operating strategy as well as results for handling the reliability of new powertrain components. The field of investigation spans from the identification of ecologically optimal transformation of the existent vehicle fleet to the development of machine learning-based operating strategies and the comparison of complex hybrid electric vehicle topologies to reduce CO2 emissions.
