Scientific Computing in Chemical Engineering II

Scientific Computing in Chemical Engineering II
Author: Frerich Keil
Publisher: Springer Science & Business Media
Total Pages: 442
Release: 1999-05-19
Genre: Computers
ISBN: 9783540658511

The application of modern methods in numerical mathematics on problems in chemical engineering is essential for designing, analyzing and running chemical processes and even entire plants. Scientific Computing in Chemical Engineering II gives the state of the art from the point of view of numerical mathematicians as well as that of engineers. The present volume as part of a two-volume edition covers topics such as computer-aided process design, combustion and flame, image processing, optimization, control, and neural networks. The volume is aimed at scientists, practitioners and graduate students in chemical engineering, industrial engineering and numerical mathematics.

Sensors, Update 11

Sensors, Update 11
Author: Henry Baltes
Publisher: Wiley-VCH
Total Pages: 336
Release: 2003
Genre: Science
ISBN:

Sensors Update ensures that you stay at the cutting edge of the field, presenting the current highlights of sensor and related microelectromechanical systems technology. Coverage includes most recent developments in materials, design, production, and applications of sensors, signal detection and processing, as well as new sensing principles based on micro- and nanotechnology. Each volume is divided into three sections: Sensor Technology reviews highlights in applied and basic research, Sensor Applications covers new or improved applications of sensors and Sensor Markets provides a survey of suppliers and market trends for a particular area. With this unique combination of information in each volume, Sensors Update is of must-have value for scientists and engineers in industry and at universities, to sensors developers, distributors, and users.

Computationally Efficient Model Predictive Control Algorithms

Computationally Efficient Model Predictive Control Algorithms
Author: Maciej Ławryńczuk
Publisher: Springer
Total Pages: 0
Release: 2016-08-27
Genre: Technology & Engineering
ISBN: 9783319350219

This book thoroughly discusses computationally efficient (suboptimal) Model Predictive Control (MPC) techniques based on neural models. The subjects treated include: · A few types of suboptimal MPC algorithms in which a linear approximation of the model or of the predicted trajectory is successively calculated on-line and used for prediction. · Implementation details of the MPC algorithms for feed forward perceptron neural models, neural Hammerstein models, neural Wiener models and state-space neural models. · The MPC algorithms based on neural multi-models (inspired by the idea of predictive control). · The MPC algorithms with neural approximation with no on-line linearization. · The MPC algorithms with guaranteed stability and robustness. · Cooperation between the MPC algorithms and set-point optimization. Thanks to linearization (or neural approximation), the presented suboptimal algorithms do not require demanding on-line nonlinear optimization. The presented simulation results demonstrate high accuracy and computational efficiency of the algorithms. For a few representative nonlinear benchmark processes, such as chemical reactors and a distillation column, for which the classical MPC algorithms based on linear models do not work properly, the trajectories obtained in the suboptimal MPC algorithms are very similar to those given by the ``ideal'' MPC algorithm with on-line nonlinear optimization repeated at each sampling instant. At the same time, the suboptimal MPC algorithms are significantly less computationally demanding.

Cost, Effectiveness, and Deployment of Fuel Economy Technologies for Light-Duty Vehicles

Cost, Effectiveness, and Deployment of Fuel Economy Technologies for Light-Duty Vehicles
Author: National Research Council
Publisher: National Academies Press
Total Pages: 812
Release: 2015-09-28
Genre: Science
ISBN: 0309373913

The light-duty vehicle fleet is expected to undergo substantial technological changes over the next several decades. New powertrain designs, alternative fuels, advanced materials and significant changes to the vehicle body are being driven by increasingly stringent fuel economy and greenhouse gas emission standards. By the end of the next decade, cars and light-duty trucks will be more fuel efficient, weigh less, emit less air pollutants, have more safety features, and will be more expensive to purchase relative to current vehicles. Though the gasoline-powered spark ignition engine will continue to be the dominant powertrain configuration even through 2030, such vehicles will be equipped with advanced technologies, materials, electronics and controls, and aerodynamics. And by 2030, the deployment of alternative methods to propel and fuel vehicles and alternative modes of transportation, including autonomous vehicles, will be well underway. What are these new technologies - how will they work, and will some technologies be more effective than others? Written to inform The United States Department of Transportation's National Highway Traffic Safety Administration (NHTSA) and Environmental Protection Agency (EPA) Corporate Average Fuel Economy (CAFE) and greenhouse gas (GHG) emission standards, this new report from the National Research Council is a technical evaluation of costs, benefits, and implementation issues of fuel reduction technologies for next-generation light-duty vehicles. Cost, Effectiveness, and Deployment of Fuel Economy Technologies for Light-Duty Vehicles estimates the cost, potential efficiency improvements, and barriers to commercial deployment of technologies that might be employed from 2020 to 2030. This report describes these promising technologies and makes recommendations for their inclusion on the list of technologies applicable for the 2017-2025 CAFE standards.

Modeling and Simulation of Systems Using MATLAB and Simulink

Modeling and Simulation of Systems Using MATLAB and Simulink
Author: Devendra K. Chaturvedi
Publisher: CRC Press
Total Pages: 734
Release: 2017-12-19
Genre: Computers
ISBN: 143980673X

Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLAB® and Simulink® provides comprehensive, state-of-the-art coverage of all the important aspects of modeling and simulating both physical and conceptual systems. Various real-life examples show how simulation plays a key role in understanding real-world systems. The author also explains how to effectively use MATLAB and Simulink software to successfully apply the modeling and simulation techniques presented. After introducing the underlying philosophy of systems, the book offers step-by-step procedures for modeling different types of systems using modeling techniques, such as the graph-theoretic approach, interpretive structural modeling, and system dynamics modeling. It then explores how simulation evolved from pre-computer days into the current science of today. The text also presents modern soft computing techniques, including artificial neural networks, fuzzy systems, and genetic algorithms, for modeling and simulating complex and nonlinear systems. The final chapter addresses discrete systems modeling. Preparing both undergraduate and graduate students for advanced modeling and simulation courses, this text helps them carry out effective simulation studies. In addition, graduate students should be able to comprehend and conduct simulation research after completing this book.