Random Processes in Automatic Control PDF Download
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Author: J. Halcombe Laning
Publisher:
ISBN:
Category : Automatic control
Languages : en
Pages : 456
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Book Description
Author: J. Halcombe Laning
Publisher:
ISBN:
Category : Automatic control
Languages : en
Pages : 456
Get Book Here
Book Description
Author: JH LANING (JR.)
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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![Random Processes in Automatic Control [by] J. Halcombe Laning, Jr. [and] Richard H. Battin PDF](https://books.google.com/books/content/images/frontcover/wCotngEACAAJ?fife=w80-h100)
Author: J. Halcombe Laning
Publisher:
ISBN:
Category :
Languages : en
Pages : 434
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Book Description
Author: J. Halcombe Laning
Publisher:
ISBN:
Category : Automatic control
Languages : en
Pages : 456
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Book Description
Author: A. A. Pervozvanskii
Publisher: Elsevier
ISBN: 0080955215
Category : Technology & Engineering
Languages : en
Pages : 359
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Book Description
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
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: E. Wong
Publisher: Springer Science & Business Media
ISBN: 1475717954
Category : Mathematics
Languages : en
Pages : 183
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Book Description
Author: Anatolii Arkadevich Pervozvanskii
Publisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 368
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Author: I. I. Gihman
Publisher: Springer Science & Business Media
ISBN: 146126202X
Category : Mathematics
Languages : en
Pages : 242
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Book Description
The theory of controlled processes is one of the most recent mathematical theories to show very important applications in modern engineering, parti cularly for constructing automatic control systems, as well as for problems of economic control. However, actual systems subject to control do not admit a strictly deterministic analysis in view of random factors of various kinds which influence their behavior. Such factors include, for example, random noise occurring in the electrical system, variations in the supply and demand of commodities, fluctuations in the labor force in economics, and random failures of components on an automated line. The theory of con trolled processes takes the random nature of the behavior of a system into account. In such cases it is natural, when choosing a control strategy, to proceed from the average expected result, taking note of all the possible variants of the behavior of a controlled system. An extensive literature is devoted to various economic and engineering systems of control (some of these works are listed in the Bibliography). is no text which adequately covers the general However, as of now there mathematical theory of controlled processes. The authors ofthis monograph have attempted to fill this gap. In this volume the general theory of discrete-parameter (time) controlled processes (Chapter 1) and those with continuous-time (Chapter 2), as well as the theory of controlled stochastic differential equations (Chapter 3), are presented.
