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Adaptation And Learning In Automatic Systems By Ya Z Tsypkin
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Book Synopsis Adaptation and Learning in Automatic Systems by : Tsypkin
Download or read book Adaptation and Learning in Automatic Systems written by Tsypkin and published by Academic Press. This book was released on 1971-06-26 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptation and Learning in Automatic Systems
Author :Alexander I. Galushkin Publisher :Springer Science & Business Media ISBN 13 :3540481257 Total Pages :396 pages Book Rating :4.5/5 (44 download)
Book Synopsis Neural Networks Theory by : Alexander I. Galushkin
Download or read book Neural Networks Theory written by Alexander I. Galushkin and published by Springer Science & Business Media. This book was released on 2007-10-29 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optimization. It details more than 40 years of Soviet and Russian neural network research and presents a systematized methodology of neural networks synthesis. The theory is expansive: covering not just traditional topics such as network architecture but also neural continua in function spaces as well.
Book Synopsis System Identification by : James L Melsa
Download or read book System Identification written by James L Melsa and published by Academic Press. This book was released on 1971-06-26 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: System Identification
Book Synopsis Adaptive Control Systems by : Chalam
Download or read book Adaptive Control Systems written by Chalam and published by Routledge. This book was released on 2017-10-19 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: impossible to access. It has been widely scattered in papers, reports, and proceedings ofsymposia, with different authors employing different symbols and terms. But now thereis a book that covers all aspects of this dynamic topic in a systematic manner.Featuring consistent terminology and compatible notation, and emphasizing unifiedstrategies, Adaptive Control Systems provides a comprehensive, integrated accountof basic concepts, analytical tools, algorithms, and a wide variety of application trendsand techniques.Adaptive Control Systems deals not only with the two principal approachesmodelreference adaptive control and self-tuning regulators-but also considers otheradaptive strategies involving variable structure systems, reduced order schemes, predictivecontrol, fuzzy logic, and more. In addition, it highlights a large number of practical applicationsin a range of fields from electrical to biomedical and aerospace engineering ...and includes coverage of industrial robots.The book identifies current trends in the development of adaptive control systems ...delineates areas for further research . : . and provides an invaluable bibliography of over1,200 references to the literature.The first authoritative reference in this important area of work, Adaptive ControlSystems is an essential information source for electrical and electronics, R&D,chemical, mechanical, aerospace, biomedical, metallurgical, marine, transportation, andpower plant engineers. It is also useful as a text in professional society seminars and inhousetraining programs for personnel involved with the control of complex systems, andfor graduate students engaged in the study of adaptive control systems.
Book Synopsis Systems Approach for Development by : M. A. R. Ghonaimy
Download or read book Systems Approach for Development written by M. A. R. Ghonaimy and published by Elsevier. This book was released on 2014-05-18 with total page 663 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems Approach for Development presents articles in such topics as methodology, management and planning, education and transfer of technology, industrial application, energy, power systems, transportation and communication systems, urban systems and housing, and water resource systems. A sample of article in methodology is a simplified model approach in the hierarchical control systems. The book discusses such topics as dynamic economic models, creation of an optimum technology for olive oil production, systems prospective, types of technological forecasting techniques, and the use of a learning automata model in resource allocation problems. The optimal rate of transfer of technology is briefly analyzed and a systems approach to technological education is covered. An essay in the development of operator interface techniques is given. A section of the text provides the requirements of an ideal teaching system for microcomputers. The book will provide useful information to engineers, sociologists, economists, computer programmers, students and researchers in the field of science.
Book Synopsis Adaptive Computational Methods for Partial Differential Equations by : Ivo Babushka
Download or read book Adaptive Computational Methods for Partial Differential Equations written by Ivo Babushka and published by SIAM. This book was released on 1983-01-01 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: List of participants; Elliptic equations; Parabolic equations; Hyperbolic equations.
Download or read book Control Theory written by James R. Leigh and published by IET. This book was released on 2004 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This revised edition addresses recent developments in the field of control theory. It discusses how the rise of 'Hoo' and similar approaches has allowed a combination of practicality, rigour and user interaction to be brought to bear upon complex control problems. The book also covers the rise of AI techniques.
Download or read book Adaptive Filters written by Ali H. Sayed and published by John Wiley & Sons. This book was released on 2011-10-11 with total page 1295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive filtering is a topic of immense practical and theoretical value, having applications in areas ranging from digital and wireless communications to biomedical systems. This book enables readers to gain a gradual and solid introduction to the subject, its applications to a variety of topical problems, existing limitations, and extensions of current theories. The book consists of eleven parts?each part containing a series of focused lectures and ending with bibliographic comments, problems, and computer projects with MATLAB solutions.
Book Synopsis An Introduction to Linear Control Systems by : Thomas E. Fortmann
Download or read book An Introduction to Linear Control Systems written by Thomas E. Fortmann and published by CRC Press. This book was released on 1977-10-01 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Self-Learning Control of Finite Markov Chains by : A.S. Poznyak
Download or read book Self-Learning Control of Finite Markov Chains written by A.S. Poznyak and published by CRC Press. This book was released on 2018-10-03 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a number of new and potentially useful self-learning (adaptive) control algorithms and theoretical as well as practical results for both unconstrained and constrained finite Markov chains-efficiently processing new information by adjusting the control strategies directly or indirectly.
Download or read book Integer Programming written by and published by Academic Press. This book was released on 1971-05-14 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression.- Best operator approximation,- Non-Lagrange interpolation,- Generic Karhunen-Loeve transform- Generalised low-rank matrix approximation- Optimal data compression- Optimal nonlinear filtering
Book Synopsis Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation by : Zhou, Zude
Download or read book Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation written by Zhou, Zude and published by IGI Global. This book was released on 2010-03-31 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.
Book Synopsis Non-Adaptive and Adaptive Control of Manipulation Robots by : M. Vukobratovic
Download or read book Non-Adaptive and Adaptive Control of Manipulation Robots written by M. Vukobratovic and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: The material presented in this monograph is a logical continuation of research results achieved in the control of manipulation robots. This is in a way, a synthesis of many-year research efforts of the associates of Robotics Department, Mihailo Pupin Institute, in the field of dynamic control.of robotic systems. As in Vol. 2 of this Series, all results rely on the mathematical models of dynamics of active spatial mechanisms which offer the possibility for adequate dynamic control of manipula tion robots. Compared with Vol. 2, this monograph has three essential new character istics, and a variety of new tasks arising in the control of robots which have been formulated and solved for the first time. One of these novelties is nonadaptive control synthesized for the case of large variations in payload parameters, under the condition that the practical stability of the overall system is satisfied. Such a case of control synthesis meets the actual today's needs in industrial robot applications. The second characteristic of the monograph is the efficient adaptive control algorithm based on decentralized control structure intended for tasks in which parameter variations cannot be specified in advance. To be objective, this is not the case in industrial robotics today. Thus, nonadaptive control with and without a particular parameter variation is supplemented by adaptive dynamic control algorithms which will cer tainly be applicable in the future industrial practice when parametric identification of workpieces will be required.
Book Synopsis Pattern Recognition and Machine Learning by : King-Sun Fu
Download or read book Pattern Recognition and Machine Learning written by King-Sun Fu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the Proceedings of the US-Japan Seminar on Learning Process in Control Systems. The seminar, held in Nagoya, Japan, from August 18 to 20, 1970, was sponsored by the US-Japan Cooperative Science Program, jointly supported by the National Science Foundation and the Japan Society for the Promotion of Science. The full texts of all the presented papers except two t are included. The papers cover a great variety of topics related to learning processes and systems, ranging from pattern recognition to systems identification, from learning control to biological modelling. In order to reflect the actual content of the book, the present title was selected. All the twenty-eight papers are roughly divided into two parts--Pattern Recognition and System Identification and Learning Process and Learning Control. It is sometimes quite obvious that some papers can be classified into either part. The choice in these cases was strictly the editor's in order to keep a certain balance between the two parts. During the past decade there has been a considerable growth of interest in problems of pattern recognition and machine learn ing. In designing an optimal pattern recognition or control system, if all the a priori information about the process under study is known and can be described deterministically, the optimal system is usually designed by deterministic optimization techniques.
Book Synopsis Principles of Combinatorics by : Berge
Download or read book Principles of Combinatorics written by Berge and published by Academic Press. This book was released on 1971-04-20 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Berge's Principles of Combinatorics is now an acknowledged classic work of the field. Complementary to his previous books, Berge's introduction deals largely with enumeration. The choice of topics is balanced, the presentation elegant, and the text can be followed by anyone with an interest in the subject with only a little algebra required as a background. Some topics were here described for the first time, including Robinston-Shensted theorum, the Eden-Schutzenberger theorum, and facts connecting Young diagrams, trees, and the symmetric group.
Book Synopsis The Padé Approximant in Theoretical Physics by :
Download or read book The Padé Approximant in Theoretical Physics written by and published by Academic Press. This book was released on 1971-02-27 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression.- Best operator approximation,- Non-Lagrange interpolation,- Generic Karhunen-Loeve transform- Generalised low-rank matrix approximation- Optimal data compression- Optimal nonlinear filtering
Book Synopsis Introduction to Stochastic Control Theory by :
Download or read book Introduction to Stochastic Control Theory written by and published by Elsevier. This book was released on 1971-02-27 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression.- Best operator approximation,- Non-Lagrange interpolation,- Generic Karhunen-Loeve transform- Generalised low-rank matrix approximation- Optimal data compression- Optimal nonlinear filtering