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Genetic Algorithms

Genetic Algorithms Author Kim-Fung Man
ISBN-10 9781447105770
Release 2012-12-06
Pages 344
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This comprehensive book gives a overview of the latest discussions in the application of genetic algorithms to solve engineering problems. Featuring real-world applications and an accompanying disk, giving the reader the opportunity to use an interactive genetic algorithms demonstration program.



Genetic Algorithms for Control and Signal Processing

Genetic Algorithms for Control and Signal Processing Author Kim F. Man
ISBN-10 9781447109556
Release 2012-12-06
Pages 211
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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. The emerging technologies in control include fuzzy logic, intelligent control, neural networks and hardware developments like micro-electro-mechanical systems and autonomous vehicles. This volume describes the biological background, basic construction and application of the emerging technology of Genetic Algorithms. Dr Kim Man and his colleagues have written a book which is both a primer introducing the basic concepts and a research text which describes some of the more advanced applications of the genetic algorithmic method. The applications described are especially useful since they indicate the power of the GA method in solving a wide range of problems. These sections are also instructive in showing how the mechanics of the GA solutions are obtained thereby acting as a template for similar types of problems. The volume is a very welcome contribution to the Advances in Industrial Control Series. M. J. Grimble and M. A.



Resource Allocation and MIMO for 4G and Beyond

Resource Allocation and MIMO for 4G and Beyond Author Francisco Rodrigo Porto Cavalcanti
ISBN-10 9781461480570
Release 2013-10-23
Pages 527
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This book will be a comprehensive collection of advanced concepts related to 4th generation wireless communication systems. It will be divided into two main parts: resource allocation and transceiver architectures. These two research areas are at the core of the recent advances experimented by wireless communication systems. Each chapter will cover a relevant, timely, topic with two focuses: a first part which is of tutorial and survey nature, reviews the state of the art in that topic, followed by a more deep treatment including current research topics, case studies and performance analysis.



Principles of Adaptive Filters and Self learning Systems

Principles of Adaptive Filters and Self learning Systems Author Anthony Zaknich
ISBN-10 9781846281211
Release 2006-03-30
Pages 386
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Teaches students about classical and nonclassical adaptive systems within one pair of covers Helps tutors with time-saving course plans, ready-made practical assignments and examination guidance The recently developed "practical sub-space adaptive filter" allows the reader to combine any set of classical and/or non-classical adaptive systems to form a powerful technology for solving complex nonlinear problems



Soft Computing for Intelligent Control and Mobile Robotics

Soft Computing for Intelligent Control and Mobile Robotics Author Oscar Castillo
ISBN-10 9783642155345
Release 2010-10-05
Pages 484
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This book describes in a detailed fashion the application of hybrid intelligent systems using soft computing techniques for intelligent control and mobile robotics. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The prudent combination of SC techniques can produce powerful hybrid intelligent systems that are capable of solving real-world problems. This is illustrated in this book with a wide range of applications, with particular emphasis in intelligent control and mobile robotics. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theory and algorithms, which are basically papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of intelligent control, which are basically papers using bio-inspired techniques, like evolutionary algorithms and neural networks, for achieving intelligent control of non-linear plants. The third part contains papers with the theme of optimization of fuzzy controllers, which basically consider the application of bio-inspired optimization methods to automate the de-sign process of optimal type-1 and type-2 fuzzy controllers. The fourth part contains papers that deal with the application of SC techniques in times series prediction and intelligent agents. The fifth part contains papers with the theme of computer vision and robotics, which are papers considering soft computing methods for applications related to vision and robotics.



Robust Control Design with MATLAB

Robust Control Design with MATLAB  Author Da-Wei Gu
ISBN-10 9781447146827
Release 2014-07-08
Pages 468
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Robust Control Design with MATLAB® (second edition) helps the student to learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples from teaching-laboratory experiments, such as a two-wheeled, self-balancing robot, to complex systems like a flexible-link manipulator are given detailed presentation. All of these exercises are conducted using MATLAB® Robust Control Toolbox 3, Control System Toolbox and Simulink®. By sharing their experiences in industrial cases with minimum recourse to complicated theories and formulae, the authors convey essential ideas and useful insights into robust industrial control systems design using major H-infinity optimization and related methods allowing readers quickly to move on with their own challenges. The hands-on tutorial style of this text rests on an abundance of examples and features for the second edition: • rewritten and simplified presentation of theoretical and methodological material including original coverage of linear matrix inequalities; • new Part II forming a tutorial on Robust Control Toolbox 3; • fresh design problems including the control of a two-rotor dynamic system; and • end-of-chapter exercises. Electronic supplements to the written text that can be downloaded from extras.springer.com/isbn include: • M-files developed with MATLAB® help in understanding the essence of robust control system design portrayed in text-based examples; • MDL-files for simulation of open- and closed-loop systems in Simulink®; and • a solutions manual available free of charge to those adopting Robust Control Design with MATLAB® as a textbook for courses. Robust Control Design with MATLAB® is for graduate students and practising engineers who want to learn how to deal with robust control design problems without spending a lot of time in researching complex theoretical developments.



Model Predictive Control

Model Predictive Control Author Eduardo F. Camacho
ISBN-10 9780857293985
Release 2013-01-10
Pages 405
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The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. The book demonstrates that a powerful technique does not always require complex control algorithms. Many new exercises and examples have also been added throughout. Solutions available for download from the authors' website save the tutor time and enable the student to follow results more closely even when the tutor isn't present.



Proceedings

Proceedings Author
ISBN-10 UOM:39015047908275
Release 2002
Pages
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Proceedings has been writing in one form or another for most of life. You can find so many inspiration from Proceedings also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Proceedings book for free.



ECG Signal Processing Classification and Interpretation

ECG Signal Processing  Classification and Interpretation Author Adam Gacek
ISBN-10 0857298682
Release 2011-09-18
Pages 278
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The book shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. The text is self-contained, addressing concepts, methodology, algorithms, and case studies and applications, providing the reader with the necessary background augmented with step-by-step explanation of the more advanced concepts. It is structured in three parts: Part I covers the fundamental ideas of computational intelligence together with the relevant principles of data acquisition, morphology and use in diagnosis; Part II deals with techniques and models of computational intelligence that are suitable for signal processing; and Part III details ECG system-diagnostic interpretation and knowledge acquisition architectures. Illustrative material includes: brief numerical experiments; detailed schemes, exercises and more advanced problems.



Mathematical Reviews

Mathematical Reviews Author
ISBN-10 UOM:39015082440879
Release 2008
Pages
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Mathematical Reviews has been writing in one form or another for most of life. You can find so many inspiration from Mathematical Reviews also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Mathematical Reviews book for free.



Adaptation in Natural and Artificial Systems

Adaptation in Natural and Artificial Systems Author John Henry Holland
ISBN-10 0262581116
Release 1992
Pages 211
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List of figures. Preface to the 1992 edition. Preface. The general setting. A formal framework. lustrations. Schemata. The optimal allocation of trials. Reproductive plans and genetic operators. The robustness of genetic plans. Adaptation of codings and representations. An overview. Interim and prospectus. Glossary of important symbols.



System Identification

System Identification Author Karel J. Keesman
ISBN-10 0857295225
Release 2011-05-16
Pages 323
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System Identification shows the student reader how to approach the system identification problem in a systematic fashion. The process is divided into three basic steps: experimental design and data collection; model structure selection and parameter estimation; and model validation, each of which is the subject of one or more parts of the text. Following an introduction on system theory, particularly in relation to model representation and model properties, the book contains four parts covering: • data-based identification – non-parametric methods for use when prior system knowledge is very limited; • time-invariant identification for systems with constant parameters; • time-varying systems identification, primarily with recursive estimation techniques; and • model validation methods. A fifth part, composed of appendices, covers the various aspects of the underlying mathematics needed to begin using the text. The book uses essentially semi-physical or gray-box modeling methods although data-based, transfer-function system descriptions are also introduced. The approach is problem-based rather than rigorously mathematical. The use of finite input–output data is demonstrated for frequency- and time-domain identification in static, dynamic, linear, nonlinear, time-invariant and time-varying systems. Simple examples are used to show readers how to perform and emulate the identification steps involved in various control design methods with more complex illustrations derived from real physical, chemical and biological applications being used to demonstrate the practical applicability of the methods described. End-of-chapter exercises (for which a downloadable instructors’ Solutions Manual is available from fill in URL here) will both help students to assimilate what they have learned and make the book suitable for self-tuition by practitioners looking to brush up on modern techniques. Graduate and final-year undergraduate students will find this text to be a practical and realistic course in system identification that can be used for assessing the processes of a variety of engineering disciplines. System Identification will help academic instructors teaching control-related to give their students a good understanding of identification methods that can be used in the real world without the encumbrance of undue mathematical detail.



Advanced Control Engineering

Advanced Control Engineering Author Roland S. Burns
ISBN-10 0750651008
Release 2001
Pages 450
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Advanced Control Engineering provides a complete course in control engineering for undergraduates of all technical disciplines. Starting with a basic overview of elementary control theory this text quickly moves on to a rigorous examination of more advanced and cutting edge date aspects such as robust and intelligent control, including neural networks and genetic algorithms. With examples from aeronautical, marine and many other types of engineering, Roland Burns draws on his extensive teaching and practical experience presents the subject in an easily understood and applied manner. Control Engineering is a core subject in most technical areas. Problems in each chapter, numerous illustrations and free Matlab files on the accompanying website are brought together to provide a valuable resource for the engineering student and lecturer alike. Complete Course in Control Engineering Real life case studies Numerous problems



Genetic Algorithms and Investment Strategies

Genetic Algorithms and Investment Strategies Author Richard J. Bauer
ISBN-10 0471576794
Release 1994-02-21
Pages 308
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When you combine nature′s efficiency and the computer′s speed, the financial possibilities are almost limitless. Today′s traders and investment analysts require faster, sleeker weaponry in today′s ruthless financial marketplace. Battles are now waged at computer speed, with skirmishes lasting not days or weeks, but mere hours. In his series of influential articles, Richard Bauer has shown why these professionals must add new computerized decision–making tools to their arsenal if they are to succeed. In Genetic Algorithms and Investment Strategies, he uniquely focuses on the most powerful weapon of all, revealing how the speed, power, and flexibility of GAs can help them consistently devise winning investment strategies. The only book to demonstrate how GAs can work effectively in the world of finance, it first describes the biological and historical bases of GAs as well as other computerized approaches such as neural networks and chaos theory. It goes on to compare their uses, advantages, and overall superiority of GAs. In subsequently presenting a basic optimization problem, Genetic Algorithms and Investment Strategies outlines the essential steps involved in using a GA and shows how it mimics nature′s evolutionary process by moving quickly toward a near–optimal solution. Introduced to advanced variations of essential GA procedures, readers soon learn how GAs can be used to: ∗ Solve large, complex problems and smaller sets of problems ∗ Serve the needs of traders with widely different investment philosophies ∗ Develop sound market timing trading rules in the stock and bond markets ∗ Select profitable individual stocks and bonds ∗ Devise powerful portfolio management systems Complete with information on relevant software programs, a glossary of GA terminology, and an extensive bibliography covering computerized approaches and market timing, Genetic Algorithms and Investment Strategies unveils in clear, nontechnical language a remarkably efficient strategic decision–making process that, when imaginatively used, enables traders and investment analysts to reap significant financial rewards.



Adaptive Systems in Control and Signal Processing 1989

Adaptive Systems in Control and Signal Processing 1989 Author T.S. Durrani
ISBN-10 9781483294247
Release 2014-06-28
Pages 620
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The Symposium covered three major areas: adaptive control, identification and signal processing. In all three, new developments were discussed covering both theoretical and applications research. Within the subject area of adaptive control the discussion centred around the challenges of robust control design to unmodelled dynamics, robust parameter estimation and enhanced performance from the estimator, while the papers on identification took the theme of it being a bridge between adaptive control and signal processing. The final area looked at two aspects of signal processing: recursive estimation and adaptive filters.



A Field Guide to Genetic Programming

A Field Guide to Genetic Programming Author
ISBN-10 9781409200734
Release 2008
Pages 233
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Genetic programming (GP) is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. Using ideas from natural evolution, GP starts from an ooze of random computer programs, and progressively refines them through processes of mutation and sexual recombination, until high-fitness solutions emerge. All this without the user having to know or specify the form or structure of solutions in advance. GP has generated a plethora of human-competitive results and applications, including novel scientific discoveries and patentable inventions. This unique overview of this exciting technique is written by three of the most active scientists in GP. See www.gp-field-guide.org.uk for more information on the book.



Genetic and Evolutionary Computation for Image Processing and Analysis

Genetic and Evolutionary Computation for Image Processing and Analysis Author Stefano Cagnoni
ISBN-10 9789774540011
Release 2008
Pages 466
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Genetic and Evolutionary Computation for Image Processing and Analysis has been writing in one form or another for most of life. You can find so many inspiration from Genetic and Evolutionary Computation for Image Processing and Analysis also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Genetic and Evolutionary Computation for Image Processing and Analysis book for free.