Advanced Mathematical Tools for Automatic Control Engineers: Volume 2 PDF Download
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Author: Alexander S. Poznyak
Publisher: Elsevier
ISBN: 0080914039
Category : Technology & Engineering
Languages : en
Pages : 568
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Book Description
Advanced Mathematical Tools for Automatic Control Engineers, Volume 2: Stochastic Techniques provides comprehensive discussions on statistical tools for control engineers. The book is divided into four main parts. Part I discusses the fundamentals of probability theory, covering probability spaces, random variables, mathematical expectation, inequalities, and characteristic functions. Part II addresses discrete time processes, including the concepts of random sequences, martingales, and limit theorems. Part III covers continuous time stochastic processes, namely Markov processes, stochastic integrals, and stochastic differential equations. Part IV presents applications of stochastic techniques for dynamic models and filtering, prediction, and smoothing problems. It also discusses the stochastic approximation method and the robust stochastic maximum principle. - Provides comprehensive theory of matrices, real, complex and functional analysis - Provides practical examples of modern optimization methods that can be effectively used in variety of real-world applications - Contains worked proofs of all theorems and propositions presented
Author: Alexander S. Poznyak
Publisher: Elsevier
ISBN: 0080914039
Category : Technology & Engineering
Languages : en
Pages : 568
Get Book Here
Book Description
Advanced Mathematical Tools for Automatic Control Engineers, Volume 2: Stochastic Techniques provides comprehensive discussions on statistical tools for control engineers. The book is divided into four main parts. Part I discusses the fundamentals of probability theory, covering probability spaces, random variables, mathematical expectation, inequalities, and characteristic functions. Part II addresses discrete time processes, including the concepts of random sequences, martingales, and limit theorems. Part III covers continuous time stochastic processes, namely Markov processes, stochastic integrals, and stochastic differential equations. Part IV presents applications of stochastic techniques for dynamic models and filtering, prediction, and smoothing problems. It also discusses the stochastic approximation method and the robust stochastic maximum principle. - Provides comprehensive theory of matrices, real, complex and functional analysis - Provides practical examples of modern optimization methods that can be effectively used in variety of real-world applications - Contains worked proofs of all theorems and propositions presented
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 602
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Book Description
Author: Peter Atkins
Publisher: Oxford University Press, USA
ISBN: 0199609810
Category : Science
Languages : en
Pages : 1009
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Book Description
This title takes an innovative molecular approach to the teaching of physical chemistry. The authors present the subject in a rigorous but accessible manner, allowing students to gain a thorough understanding of physical chemistry.
Author: Taha Sochi
Publisher: Taha Sochi
ISBN:
Category : Mathematics
Languages : en
Pages : 237
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Book Description
This book is the first volume of a collection of notes and solved problems about number theory. Like my previous books, maximum clarity was one of the main objectives and criteria in determining the style of writing, presenting and structuring the book as well as selecting its contents. Modest mathematical background knowledge is required for understanding most of the contents of the book. In fact, the book in most parts requires no more than a college or secondary school level of general mathematics. So, the intended readers of the book are primarily college (or A-level) students as well as junior undergraduate students (e.g. in mathematics or science or engineering). The book can be used as a text or as a reference for an introductory course on this subject and may also be used for general reading in mathematics. The book may also be adopted as a source of pedagogical materials which can supplement, for instance, tutorial sessions (e.g. in undergraduate courses on mathematics or science).
Author: United States. Central Intelligence Agency
Publisher:
ISBN:
Category : World politics
Languages : en
Pages : 112
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Book Description
Author: David Hernandez
Publisher: Springer Nature
ISBN: 3031661826
Category :
Languages : en
Pages : 199
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Book Description
Author: Wen Yu
Publisher: Springer Science & Business Media
ISBN: 3642015069
Category : Computers
Languages : en
Pages : 1270
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Book Description
The three volume set LNCS 5551/5552/5553 constitutes the refereed proceedings of the 6th International Symposium on Neural Networks, ISNN 2009, held in Wuhan, China in May 2009. The 409 revised papers presented were carefully reviewed and selected from a total of 1.235 submissions. The papers are organized in 20 topical sections on theoretical analysis, stability, time-delay neural networks, machine learning, neural modeling, decision making systems, fuzzy systems and fuzzy neural networks, support vector machines and kernel methods, genetic algorithms, clustering and classification, pattern recognition, intelligent control, optimization, robotics, image processing, signal processing, biomedical applications, fault diagnosis, telecommunication, sensor network and transportation systems, as well as applications.
Author: Peter Atkins
Publisher: Oxford University Press, USA
ISBN: 0199608113
Category : Science
Languages : en
Pages : 619
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Book Description
Elements of Physical Chemistry has been carefully crafted to help students increase their confidence when using physics and mathematics to answer fundamental questions about the structure of molecules, how chemical reactions take place, and why materials behave the way they do.
Author: Winthrop Nelson Francis
Publisher:
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 584
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Book Description
Author: Jose Mira
Publisher: Springer Science & Business Media
ISBN: 3540422358
Category : Computers
Languages : en
Pages : 862
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Book Description
This book constitutes, together with its companion, LNCS 2085, the refereed proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, held in Granada, Spain, in June 2001. The 200 revised papers presented were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in sections on foundations of connectionism, biophysical models of neurons, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, artificial intelligence and congnitive processes, methodology for nets design, nets simulation and implementation, bio-inspired systems and engineering, and other applications in a variety of fields.
