Computer Intensive Methods In Control And Signal Processing

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Computer Intensive Methods in Control and Signal Processing

Author : Kevin Warwick
Publisher : Springer Science & Business Media
ISBN 13 : 1461219965
Total Pages : 312 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Computer Intensive Methods in Control and Signal Processing by : Kevin Warwick

Download or read book Computer Intensive Methods in Control and Signal Processing written by Kevin Warwick and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the rapid increase in readily available computing power, a corre sponding increase in the complexity of problems being tackled has occurred in the field of systems as a whole. A plethora of new methods which can be used on the problems has also arisen with a constant desire to deal with more and more difficult applications. Unfortunately by increasing the ac curacy in models employed along with the use of appropriate algorithms with related features, the resultant necessary computations can often be of very high dimension. This brings with it a whole new breed of problem which has come to be known as "The Curse of Dimensionality" . The expression "Curse of Dimensionality" can be in fact traced back to Richard Bellman in the 1960's. However, it is only in the last few years that it has taken on a widespread practical significance although the term di mensionality does not have a unique precise meaning and is being used in a slightly different way in the context of algorithmic and stochastic complex ity theory or in every day engineering. In principle the dimensionality of a problem depends on three factors: on the engineering system (subject), on the concrete task to be solved and on the available resources. A system is of high dimension if it contains a lot of elements/variables and/or the rela tionship/connection between the elements/variables is complicated.

Computer-intensive Methods in Control and Signal Processing

Author :
Publisher :
ISBN 13 :
Total Pages : 350 pages
Book Rating : 4.:/5 (643 download)

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Book Synopsis Computer-intensive Methods in Control and Signal Processing by :

Download or read book Computer-intensive Methods in Control and Signal Processing written by and published by . This book was released on 1994 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Variational Bayes Method in Signal Processing

Author : Václav Šmídl
Publisher : Springer Science & Business Media
ISBN 13 : 3540288201
Total Pages : 241 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis The Variational Bayes Method in Signal Processing by : Václav Šmídl

Download or read book The Variational Bayes Method in Signal Processing written by Václav Šmídl and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Treating VB approximation in signal processing, this monograph is for academic and industrial research groups in signal processing, data analysis, machine learning and identification. It reviews distributional approximation, showing that tractable algorithms for parametric model identification can be generated in off-line and on-line contexts.

Semantic Modeling for the Acquisition of Topographic Information from Images and Maps

Author : Wolfgang Förstner
Publisher : Springer Science & Business Media
ISBN 13 : 9783764357580
Total Pages : 248 pages
Book Rating : 4.3/5 (575 download)

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Book Synopsis Semantic Modeling for the Acquisition of Topographic Information from Images and Maps by : Wolfgang Förstner

Download or read book Semantic Modeling for the Acquisition of Topographic Information from Images and Maps written by Wolfgang Förstner and published by Springer Science & Business Media. This book was released on 1997-05-01 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Acquiring spatial data for geoinformation systems is still mainly done by human operators who analyze images using classical photogrammetric equipment or digitize maps, possibly assisted by some low level image processing. Automation of these tasks is difficult due to the complexity of the object, the topography, and the deficiency of current pattern recognition and image analysis tools for achieving a reliable transition from the data to the high level description of topographic objects. It appears that progress in automation only can be achieved by incorporating domain-specific semantic models into the analysis procedures. This volume collects papers which were presented at the Workshop "SMATI '97". The workshop focused on "Semantic Modeling for the Acquisition of Topographic Information from Images and Maps." This volume offers a comprehensive selection of high-quality and in-depth contributions by experts of the field coming from leading research institutes, treating both theoretical and implementation issues and integrating aspects of photogrammetry, cartography, computer vision, and image understanding.

Neural Approximations for Optimal Control and Decision

Author : Riccardo Zoppoli
Publisher : Springer Nature
ISBN 13 : 3030296938
Total Pages : 532 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Neural Approximations for Optimal Control and Decision by : Riccardo Zoppoli

Download or read book Neural Approximations for Optimal Control and Decision written by Riccardo Zoppoli and published by Springer Nature. This book was released on 2019-12-17 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Approximations for Optimal Control and Decision provides a comprehensive methodology for the approximate solution of functional optimization problems using neural networks and other nonlinear approximators where the use of traditional optimal control tools is prohibited by complicating factors like non-Gaussian noise, strong nonlinearities, large dimension of state and control vectors, etc. Features of the text include: • a general functional optimization framework; • thorough illustration of recent theoretical insights into the approximate solutions of complex functional optimization problems; • comparison of classical and neural-network based methods of approximate solution; • bounds to the errors of approximate solutions; • solution algorithms for optimal control and decision in deterministic or stochastic environments with perfect or imperfect state measurements over a finite or infinite time horizon and with one decision maker or several; • applications of current interest: routing in communications networks, traffic control, water resource management, etc.; and • numerous, numerically detailed examples. The authors’ diverse backgrounds in systems and control theory, approximation theory, machine learning, and operations research lend the book a range of expertise and subject matter appealing to academics and graduate students in any of those disciplines together with computer science and other areas of engineering.

Dealing with Complexity

Author : Mirek Karny
Publisher : Springer Science & Business Media
ISBN 13 : 1447115236
Total Pages : 323 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Dealing with Complexity by : Mirek Karny

Download or read book Dealing with Complexity written by Mirek Karny and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: In almost all areas of science and engineering, the use of computers and microcomputers has, in recent years, transformed entire subject areas. What was not even considered possible a decade or two ago is now not only possible but is also part of everyday practice. As a result, a new approach usually needs to be taken (in order) to get the best out of a situation. What is required is now a computer's eye view of the world. However, all is not rosy in this new world. Humans tend to think in two or three dimensions at most, whereas computers can, without complaint, work in n dimensions, where n, in practice, gets bigger and bigger each year. As a result of this, more complex problem solutions are being attempted, whether or not the problems themselves are inherently complex. If information is available, it might as well be used, but what can be done with it? Straightforward, traditional computational solutions to this new problem of complexity can, and usually do, produce very unsatisfactory, unreliable and even unworkable results. Recently however, artificial neural networks, which have been found to be very versatile and powerful when dealing with difficulties such as nonlinearities, multivariate systems and high data content, have shown their strengths in general in dealing with complex problems. This volume brings together a collection of top researchers from around the world, in the field of artificial neural networks.

Neural Network Applications in Control

Author : George William Irwin
Publisher : IET
ISBN 13 : 9780852968529
Total Pages : 320 pages
Book Rating : 4.9/5 (685 download)

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Book Synopsis Neural Network Applications in Control by : George William Irwin

Download or read book Neural Network Applications in Control written by George William Irwin and published by IET. This book was released on 1995 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim is to present an introduction to, and an overview of, the present state of neural network research and development, with an emphasis on control systems application studies. The book is useful to a range of levels of reader. The earlier chapters introduce the more popular networks and the fundamental control principles, these are followed by a series of application studies, most of which are industrially based, and the book concludes with a consideration of some recent research.

Neural Network Engineering in Dynamic Control Systems

Author : Kenneth J. Hunt
Publisher : Springer Science & Business Media
ISBN 13 : 1447130669
Total Pages : 285 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Neural Network Engineering in Dynamic Control Systems by : Kenneth J. Hunt

Download or read book Neural Network Engineering in Dynamic Control Systems written by Kenneth J. Hunt and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, .... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Within the control community there has been much discussion of and interest in the new Emerging Technologies and Methods. Neural networks along with Fuzzy Logic and Expert Systems is an emerging methodology which has the potential to contribute to the development of intelligent control technologies. This volume of some thirteen chapters edited by Kenneth Hunt, George Irwin and Kevin Warwick makes a useful contribution to the literature of neural network methods and applications. The chapters are arranged systematically progressing from theoretical foundations, through the training aspects of neural nets and concluding with four chapters of applications. The applications include problems as diverse as oven tempera ture control, and energy/load forecasting routines. We hope this interesting but balanced mix of material appeals to a wide range of readers from the theoretician to the industrial applications engineer.

Multiple Model Approaches To Nonlinear Modelling And Control

Author : R Murray-Smith
Publisher : CRC Press
ISBN 13 : 1000162761
Total Pages : 360 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Multiple Model Approaches To Nonlinear Modelling And Control by : R Murray-Smith

Download or read book Multiple Model Approaches To Nonlinear Modelling And Control written by R Murray-Smith and published by CRC Press. This book was released on 2020-11-26 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work presents approaches to modelling and control problems arising from conditions of ever increasing nonlinearity and complexity. It prescribes an approach that covers a wide range of methods being combined to provide multiple model solutions. Many component methods are described, as well as discussion of the strategies available for building a successful multiple model approach.

Decision Making and Imperfection

Author : Tatiana V Guy
Publisher : Springer
ISBN 13 : 3642364063
Total Pages : 197 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Decision Making and Imperfection by : Tatiana V Guy

Download or read book Decision Making and Imperfection written by Tatiana V Guy and published by Springer. This book was released on 2013-02-01 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision making (DM) is ubiquitous in both natural and artificial systems. The decisions made often differ from those recommended by the axiomatically well-grounded normative Bayesian decision theory, in a large part due to limited cognitive and computational resources of decision makers (either artificial units or humans). This state of a airs is often described by saying that decision makers are imperfect and exhibit bounded rationality. The neglected influence of emotional state and personality traits is an additional reason why normative theory fails to model human DM process. The book is a joint effort of the top researchers from different disciplines to identify sources of imperfection and ways how to decrease discrepancies between the prescriptive theory and real-life DM. The contributions consider: · how a crowd of imperfect decision makers outperforms experts' decisions; · how to decrease decision makers' imperfection by reducing knowledge available; · how to decrease imperfection via automated elicitation of DM preferences; · a human's limited willingness to master the available decision-support tools as an additional source of imperfection; · how the decision maker's emotional state influences the rationality; a DM support of edutainment robot based on its system of values and respecting emotions. The book will appeal to anyone interested in the challenging topic of DM theory and its applications.

Nonlinear Model Predictive Control

Author : Frank Allgöwer
Publisher : Birkhäuser
ISBN 13 : 3034884079
Total Pages : 463 pages
Book Rating : 4.0/5 (348 download)

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Book Synopsis Nonlinear Model Predictive Control by : Frank Allgöwer

Download or read book Nonlinear Model Predictive Control written by Frank Allgöwer and published by Birkhäuser. This book was released on 2012-12-06 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past decade model predictive control (MPC), also referred to as receding horizon control or moving horizon control, has become the preferred control strategy for quite a number of industrial processes. There have been many significant advances in this area over the past years, one of the most important ones being its extension to nonlinear systems. This book gives an up-to-date assessment of the current state of the art in the new field of nonlinear model predictive control (NMPC). The main topic areas that appear to be of central importance for NMPC are covered, namely receding horizon control theory, modeling for NMPC, computational aspects of on-line optimization and application issues. The book consists of selected papers presented at the International Symposium on Nonlinear Model Predictive Control – Assessment and Future Directions, which took place from June 3 to 5, 1998, in Ascona, Switzerland. The book is geared towards researchers and practitioners in the area of control engineering and control theory. It is also suited for postgraduate students as the book contains several overview articles that give a tutorial introduction into the various aspects of nonlinear model predictive control, including systems theory, computations, modeling and applications.

Advances in Neural Networks – ISNN 2014

Author : Zhigang Zeng
Publisher : Springer
ISBN 13 : 3319124366
Total Pages : 661 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Advances in Neural Networks – ISNN 2014 by : Zhigang Zeng

Download or read book Advances in Neural Networks – ISNN 2014 written by Zhigang Zeng and published by Springer. This book was released on 2014-11-28 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume LNCS 8866 constitutes the refereed proceedings of the 11th International Symposium on Neural Networks, ISNN 2014, held in Hong Kong and Macao, China on November/ December 2014. The 71 revised full papers presented were carefully reviewed and selected from 119 submissions. These papers cover all major topics of the theoretical research, empirical study and applications of neural networks research as follows. The focus is on following topics such as analysis, modeling, and applications.

The 1995 Goddard Conference on Space Applications of Artificial Intelligence and Emerging Information Technologies

Author : Carl F. Hostetter
Publisher :
ISBN 13 :
Total Pages : 394 pages
Book Rating : 4.:/5 (317 download)

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Book Synopsis The 1995 Goddard Conference on Space Applications of Artificial Intelligence and Emerging Information Technologies by : Carl F. Hostetter

Download or read book The 1995 Goddard Conference on Space Applications of Artificial Intelligence and Emerging Information Technologies written by Carl F. Hostetter and published by . This book was released on 1995 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Predictive Modular Neural Networks

Author : Vassilios Petridis
Publisher : Springer Science & Business Media
ISBN 13 : 1461555558
Total Pages : 311 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Predictive Modular Neural Networks by : Vassilios Petridis

Download or read book Predictive Modular Neural Networks written by Vassilios Petridis and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of this book is predictive modular neural networks and their ap plication to time series problems: classification, prediction and identification. The intended audience is researchers and graduate students in the fields of neural networks, computer science, statistical pattern recognition, statistics, control theory and econometrics. Biologists, neurophysiologists and medical engineers may also find this book interesting. In the last decade the neural networks community has shown intense interest in both modular methods and time series problems. Similar interest has been expressed for many years in other fields as well, most notably in statistics, control theory, econometrics etc. There is a considerable overlap (not always recognized) of ideas and methods between these fields. Modular neural networks come by many other names, for instance multiple models, local models and mixtures of experts. The basic idea is to independently develop several "subnetworks" (modules), which may perform the same or re lated tasks, and then use an "appropriate" method for combining the outputs of the subnetworks. Some of the expected advantages of this approach (when compared with the use of "lumped" or "monolithic" networks) are: superior performance, reduced development time and greater flexibility. For instance, if a module is removed from the network and replaced by a new module (which may perform the same task more efficiently), it should not be necessary to retrain the aggregate network.

Algorithms and Parallel VLSI Architectures III

Author : M. Moonen
Publisher : Elsevier
ISBN 13 : 0080526977
Total Pages : 425 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Algorithms and Parallel VLSI Architectures III by : M. Moonen

Download or read book Algorithms and Parallel VLSI Architectures III written by M. Moonen and published by Elsevier. This book was released on 1995-03-16 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive overview of the current evolution of research in algorithms, architectures and compilation for parallel systems is provided by this publication. The contributions focus specifically on domains where embedded systems are required, either oriented to application-specific or to programmable realisations. These are crucial in domains such as audio, telecom, instrumentation, speech, robotics, medical and automotive processing, image and video processing, TV, multimedia, radar and sonar. The book will be of particular interest to the academic community because of the detailed descriptions of research results presented. In addition, many contributions feature the "real-life" applications that are responsible for driving research and the impact of their specific characteristics on the methodologies is assessed. The publication will also be of considerable value to senior design engineers and CAD managers in the industrial arena, who wish either to anticipate the evolution of commercially available design tools or to utilize the presented concepts in their own R&D programmes.

Assessment and Future Directions of Nonlinear Model Predictive Control

Author : Rolf Findeisen
Publisher : Springer
ISBN 13 : 3540726993
Total Pages : 644 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Assessment and Future Directions of Nonlinear Model Predictive Control by : Rolf Findeisen

Download or read book Assessment and Future Directions of Nonlinear Model Predictive Control written by Rolf Findeisen and published by Springer. This book was released on 2007-09-08 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thepastthree decadeshaveseenrapiddevelopmentin the areaofmodelpred- tive control with respect to both theoretical and application aspects. Over these 30 years, model predictive control for linear systems has been widely applied, especially in the area of process control. However, today’s applications often require driving the process over a wide region and close to the boundaries of - erability, while satisfying constraints and achieving near-optimal performance. Consequently, the application of linear control methods does not always lead to satisfactory performance, and here nonlinear methods must be employed. This is one of the reasons why nonlinear model predictive control (NMPC) has - joyed signi?cant attention over the past years,with a number of recent advances on both the theoretical and application frontier. Additionally, the widespread availability and steadily increasing power of today’s computers, as well as the development of specially tailored numerical solution methods for NMPC, bring thepracticalapplicabilityofNMPCwithinreachevenforveryfastsystems.This has led to a series of new, exciting developments, along with new challenges in the area of NMPC.

The Handbook of Human-Machine Interaction

Author : Guy A. Boy
Publisher : CRC Press
ISBN 13 : 131702947X
Total Pages : 478 pages
Book Rating : 4.3/5 (17 download)

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Book Synopsis The Handbook of Human-Machine Interaction by : Guy A. Boy

Download or read book The Handbook of Human-Machine Interaction written by Guy A. Boy and published by CRC Press. This book was released on 2017-11-01 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Human-Machine Interaction features 20 original chapters and a conclusion focusing on human-machine interaction (HMI) from analysis, design and evaluation perspectives. It offers a comprehensive range of principles, methods, techniques and tools to provide the reader with a clear knowledge of the current academic and industry practice and debate that define the field. The text considers physical, cognitive, social and emotional aspects and is illustrated by key application domains such as aerospace, automotive, medicine and defence. Above all, this volume is designed as a research guide that will both inform readers on the basics of human-machine interaction from academic and industrial perspectives and also provide a view ahead at the means through which human-centered designers, including engineers and human factors specialists, will attempt to design and develop human-machine systems.