Author : N.T. Koussoulas
Publisher : Pergamon
Page : 606 pages
File Size : 41,52 MB
Release : 1999-06-11
Category : Technology & Engineering
ISBN :
As the 21st century nears, there is a need to seriously reconsider many aspects of modeling and controlling large, complex, man-made systems. Integration of technologies and functions requires deep interdisciplinary expertise and technical breadth for successful implementation. Large scale systems theory can play a central role in this effort and it is a strongly held belief that this approach will continue to be of major importance in the future.
Author : Masao Ikeda
Publisher : Elsevier
Page : 400 pages
File Size : 14,66 MB
Release : 2005-12-28
Category : Science
ISBN : 9780080442723
Author : Nick Theodore Koussoulas
Publisher :
Page : 628 pages
File Size : 33,18 MB
Release : 1999
Category : Automatic control
ISBN :
Author : Peter Benner
Publisher : Springer Science & Business Media
Page : 397 pages
File Size : 33,75 MB
Release : 2006-03-30
Category : Technology & Engineering
ISBN : 3540279091
In the past decades, model reduction has become an ubiquitous tool in analysis and simulation of dynamical systems, control design, circuit simulation, structural dynamics, CFD, and many other disciplines dealing with complex physical models. The aim of this book is to survey some of the most successful model reduction methods in tutorial style articles and to present benchmark problems from several application areas for testing and comparing existing and new algorithms. As the discussed methods have often been developed in parallel in disconnected application areas, the intention of the mini-workshop in Oberwolfach and its proceedings is to make these ideas available to researchers and practitioners from all these different disciplines.
Author : Ali Zilouchian
Publisher : CRC Press
Page : 504 pages
File Size : 48,48 MB
Release : 2001-03-27
Category : Technology & Engineering
ISBN : 1420058142
In recent years, intelligent control has emerged as one of the most active and fruitful areas of research and development. Until now, however, there has been no comprehensive text that explores the subject with focus on the design and analysis of biological and industrial applications. Intelligent Control Systems Using Soft Computing Methodologies does all that and more. Beginning with an overview of intelligent control methodologies, the contributors present the fundamentals of neural networks, supervised and unsupervised learning, and recurrent networks. They address various implementation issues, then explore design and verification of neural networks for a variety of applications, including medicine, biology, digital signal processing, object recognition, computer networking, desalination technology, and oil refinery and chemical processes. The focus then shifts to fuzzy logic, with a review of the fundamental and theoretical aspects, discussion of implementation issues, and examples of applications, including control of autonomous underwater vehicles, navigation of space vehicles, image processing, robotics, and energy management systems. The book concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies, including several more industrial examples, implementation issues, and open problems and open problems related to intelligent control technology. Suitable as a textbook or a reference, Intelligent Control Systems explores recent advances in the field from both the theoretical and the practical viewpoints. It also integrates intelligent control design methodologies to give designers a set of flexible, robust controllers and provide students with a tool for solving the examples and exercises within the book.
Author : Martin Grötschel
Publisher : Springer Science & Business Media
Page : 789 pages
File Size : 28,12 MB
Release : 2013-03-14
Category : Mathematics
ISBN : 3662043319
In its thousands of years of history, mathematics has made an extraordinary ca reer. It started from rules for bookkeeping and computation of areas to become the language of science. Its potential for decision support was fully recognized in the twentieth century only, vitally aided by the evolution of computing and communi cation technology. Mathematical optimization, in particular, has developed into a powerful machinery to help planners. Whether costs are to be reduced, profits to be maximized, or scarce resources to be used wisely, optimization methods are available to guide decision making. Opti mization is particularly strong if precise models of real phenomena and data of high quality are at hand - often yielding reliable automated control and decision proce dures. But what, if the models are soft and not all data are around? Can mathematics help as well? This book addresses such issues, e. g. , problems of the following type: - An elevator cannot know all transportation requests in advance. In which order should it serve the passengers? - Wing profiles of aircrafts influence the fuel consumption. Is it possible to con tinuously adapt the shape of a wing during the flight under rapidly changing conditions? - Robots are designed to accomplish specific tasks as efficiently as possible. But what if a robot navigates in an unknown environment? - Energy demand changes quickly and is not easily predictable over time. Some types of power plants can only react slowly.
Author : Yann Collette
Publisher : Springer Science & Business Media
Page : 290 pages
File Size : 19,90 MB
Release : 2013-06-29
Category : Mathematics
ISBN : 3662088835
This text offers many multiobjective optimization methods accompanied by analytical examples, and it treats problems not only in engineering but also operations research and management. It explains how to choose the best method to solve a problem and uses three primary application examples: optimization of the numerical simulation of an industrial process; sizing of a telecommunication network; and decision-aid tools for the sorting of bids.
Author : Andrew P. Sage
Publisher : EOLSS Publications
Page : 362 pages
File Size : 14,70 MB
Release : 2009-09-30
Category :
ISBN : 1905839014
Systems Engineering and Management for Sustainable Development is a component of Encyclopedia of Technology, Information, and Systems Management Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. This theme discusses: basic principles of systems engineering and management for sustainable development, including: cost effectiveness assessment; decision assessment, tradeoffs, conflict resolution and negotiation; research and development policy; industrial ecology; and risk management strategies for sustainability. The emphasis throughout will be upon the development of appropriate life-cycles for processes that assist in the attainment of sustainable development, and in the use of appropriate policies and systems management approaches to ensure successful application of these processes. The general objectives of these chapters is to illustrate the way in which one specific issue, such as the need to bring about sustainable development, necessarily grows in scope such that it becomes only feasible to consider the engineering and architecting of appropriate systems when the specific issue is imbedded into a wealth of other issues. The discussions provide an illustration of the many attributes and needs associated with the important task of utilizing information and knowledge, enabled through systems engineering and management, to engineer systems involving humans, organizations, and technology, in the support of sustainability. These two volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs
Author : Houmin Yan
Publisher : Springer Science & Business Media
Page : 397 pages
File Size : 32,96 MB
Release : 2006-09-10
Category : Technology & Engineering
ISBN : 0387338152
This edited volume contains 16 research articles. It presents recent and pressing issues in stochastic processes, control theory, differential games, optimization, and their applications in finance, manufacturing, queueing networks, and climate control. One of the salient features is that the book is highly multi-disciplinary. The book is dedicated to Professor Suresh Sethi on the occasion of his 60th birthday, in view of his distinguished career.
Author : Mietek A. Brdys
Publisher : Imperial College Press
Page : 388 pages
File Size : 29,91 MB
Release : 2005
Category : Mathematics
ISBN : 1860947247
The book presents basic structures, concepts and algorithms in the area of multilayer optimizing control of industrial systems, as well as the results of the research that was carried out by the authors over the last two decades. The methodologies and control algorithms are thoroughly illustrated by numerous simulation examples. Also, the applications to several case study examples are presented. These include ethylene distillation column, vaporizer pilot scale plant, styrene distillation line consisting of three columns and industrial furnace pilot scale plant. A temporal decomposition is applied to the Integrated Wastewater System case study to derive multilayer dynamic optimizing controller with repetitive robust model predictive control mechanism distributed over the layers operating in different time scales.
