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Random Processes In Nonlinear Control Systems By A A Pervozvanskii


Random Processes In Nonlinear Control Systems By A A Pervozvanskii
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Random Processes In Nonlinear Control Systems By A A Pervozvanskii


Random Processes In Nonlinear Control Systems By A A Pervozvanskii
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Author : A. A. Pervozvanskii
language : en
Publisher: Elsevier
Release Date : 1965-01-01

Random Processes In Nonlinear Control Systems By A A Pervozvanskii written by A. A. Pervozvanskii and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1965-01-01 with Technology & Engineering categories.


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



Introduction To The Mathematical Theory Of Control Processes Nonlinear Processes


Introduction To The Mathematical Theory Of Control Processes Nonlinear Processes
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Author : Bellman
language : en
Publisher: Academic Press
Release Date : 1971-04-20

Introduction To The Mathematical Theory Of Control Processes Nonlinear Processes written by Bellman and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971-04-20 with Computers categories.


Introduction to the Mathematical Theory of Control Processes: Nonlinear Processes v. 2



Nonlinear Ordinary Differential Equations In Transport Processes


Nonlinear Ordinary Differential Equations In Transport Processes
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Author : W. F. Ames
language : en
Publisher: Academic Press
Release Date : 1968

Nonlinear Ordinary Differential Equations In Transport Processes written by W. F. Ames and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Computers categories.


Nonlinear Ordinary Differential Equations in Transport Processes



Methods Of Nonlinear Analysis


Methods Of Nonlinear Analysis
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Author : Richard Bellman
language : en
Publisher: Elsevier
Release Date : 1970-04-01

Methods Of Nonlinear Analysis written by Richard Bellman and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970-04-01 with Mathematics categories.


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



Stochastic Stability And Control


Stochastic Stability And Control
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Author : Kushner
language : en
Publisher: Academic Press
Release Date : 1967-01-01

Stochastic Stability And Control written by Kushner and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1967-01-01 with Mathematics categories.


Stochastic Stability and Control



Introduction To Stochastic Control Theory


Introduction To Stochastic Control Theory
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Author :
language : en
Publisher: Elsevier
Release Date : 1971-02-27

Introduction To Stochastic Control Theory written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971-02-27 with Mathematics categories.


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



Optimization Of Stochastic Systems


Optimization Of Stochastic Systems
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Author : Masanao Aoki
language : en
Publisher: Elsevier
Release Date : 2016-06-03

Optimization Of Stochastic Systems written by Masanao Aoki and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-03 with Mathematics categories.


Optimization of Stochastic Systems



Statistical Decision Theory In Adaptive Control Systems


Statistical Decision Theory In Adaptive Control Systems
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Author : Yoshikazu Sawaragi
language : en
Publisher: Elsevier
Release Date : 2016-06-03

Statistical Decision Theory In Adaptive Control Systems written by Yoshikazu Sawaragi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-03 with Technology & Engineering categories.


Mathematics in Science and Engineering, Volume 39: Statistical Decision Theory in Adaptive Control Systems focuses on the combination of control theory with statistical decision theory. This volume is divided into nine chapters. Chapter 1 reviews the history of control theory and introduces statistical decision theory. The mathematical description of random processes is covered in Chapter 2. In Chapter 3, the basic concept of statistical decision theory is treated, while in Chapter 4, the method of solving statistical decision problems is described. The application of statistical decision concepts to control problems is explained in Chapter 5. Chapter 6 elaborates a method of designing an adaptive control system. An application of the sequential decision procedure to the design of decision adaptive control systems is illustrated in Chapter 7. Chapter 8 is devoted to the description of a method of the adaptive adjustment of parameters contained in nonlinear control systems, followed by a discussion of the future problems in applications of statistical decision theory to control processes in the last chapter. This book is recommended for students and researchers concerned with statistical decision theory in adaptive control systems.



Variational Methods In Optimum Control Theory


Variational Methods In Optimum Control Theory
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Author : Petrov
language : en
Publisher: Academic Press
Release Date : 1968

Variational Methods In Optimum Control Theory written by Petrov and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Computers categories.


Variational Methods in Optimum Control Theory



Control Systems Functions And Programming Approaches Applications By Dimitris N Chorafas


Control Systems Functions And Programming Approaches Applications By Dimitris N Chorafas
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Author :
language : en
Publisher: Academic Press
Release Date : 1966-01-01

Control Systems Functions And Programming Approaches Applications By Dimitris N Chorafas written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1966-01-01 with Mathematics categories.


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