The Resource Dynamic programming and its application to optimal control, [by] R. Boudarel, J. Delmas [and] P. Guichet. Translated by R. N. McDonough
Dynamic programming and its application to optimal control, [by] R. Boudarel, J. Delmas [and] P. Guichet. Translated by R. N. McDonough
Resource Information
The item Dynamic programming and its application to optimal control, [by] R. Boudarel, J. Delmas [and] P. Guichet. Translated by R. N. McDonough represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Dynamic programming and its application to optimal control, [by] R. Boudarel, J. Delmas [and] P. Guichet. Translated by R. N. McDonough represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
 Summary
 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 nonLagrange 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 lowrank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and methods 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 and its particular branches, such as optimal filtering and information compression
 Language

 eng
 fre
 eng
 Extent
 xiv, 252 pages
 Note
 Translation of Programmation dynamique et ses applications, being v. 3 of the authors' Commande optimale des processus
 Contents

 pt. I. Discrete deterministic processes. The principles of dynamic programming
 Processes with bounded horizon
 Processes with infinite or unspecified horizon
 Practical solution of the optimal recurrence relation
 pt. II. Discrete random processes. General theory
 Processes with discrete states
 pt. III. Numerical synthesis of the optimal controller for a linear process. General discussion of the problem
 Numerical optimal control of a measurable deterministic process
 Numerical optimal control of a stochastic process
 pt. IV. Continuous processes. Continuous deterministic processes
 Continuous stochastic processes
 pt. V. Applications. Introductory example
 Minimum use of control effort in a firstorder system
 Optimal tabulation of functions
 Regulation of angular position with minimization of a quadratic criterion
 Control of a stochastic system
 Minimumtime depth change of a submersible vehicle
 Optimal interception
 Control of a continuous process
 Filtering
 Isbn
 9780121189501
 Label
 Dynamic programming and its application to optimal control
 Title
 Dynamic programming and its application to optimal control
 Statement of responsibility
 [by] R. Boudarel, J. Delmas [and] P. Guichet. Translated by R. N. McDonough
 Language

 eng
 fre
 eng
 Summary
 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 nonLagrange 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 lowrank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and methods 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 and its particular branches, such as optimal filtering and information compression
 Cataloging source
 DLC
 http://library.link/vocab/creatorName
 Boudarel, R.
 Dewey number
 629.8/312
 Index
 index present
 LC call number
 QA402.3
 LC item number
 . B67134 1971
 Literary form
 non fiction
 Nature of contents
 bibliography
 http://library.link/vocab/relatedWorkOrContributorName

 Delmas, J.
 Guichet, P.
 Series statement
 Mathematics in science and engineering
 Series volume
 v. 81
 http://library.link/vocab/subjectName

 Control theory
 Dynamic programming
 Controle
 Programacao Dinamica
 Dynamische Optimierung
 Kontrolltheorie
 Optimale Kontrolle
 Programmation dynamique
 Commande, Théorie de la
 Label
 Dynamic programming and its application to optimal control, [by] R. Boudarel, J. Delmas [and] P. Guichet. Translated by R. N. McDonough
 Note
 Translation of Programmation dynamique et ses applications, being v. 3 of the authors' Commande optimale des processus
 Bibliography note
 Includes bibliographical references
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 pt. I. Discrete deterministic processes. The principles of dynamic programming  Processes with bounded horizon  Processes with infinite or unspecified horizon  Practical solution of the optimal recurrence relation  pt. II. Discrete random processes. General theory  Processes with discrete states  pt. III. Numerical synthesis of the optimal controller for a linear process. General discussion of the problem  Numerical optimal control of a measurable deterministic process  Numerical optimal control of a stochastic process  pt. IV. Continuous processes. Continuous deterministic processes  Continuous stochastic processes  pt. V. Applications. Introductory example  Minimum use of control effort in a firstorder system  Optimal tabulation of functions  Regulation of angular position with minimization of a quadratic criterion  Control of a stochastic system  Minimumtime depth change of a submersible vehicle  Optimal interception  Control of a continuous process  Filtering
 Control code
 162800
 Dimensions
 24 cm
 Extent
 xiv, 252 pages
 Isbn
 9780121189501
 Lccn
 79154364
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 System control number
 (WaOLN)501557
 Label
 Dynamic programming and its application to optimal control, [by] R. Boudarel, J. Delmas [and] P. Guichet. Translated by R. N. McDonough
 Note
 Translation of Programmation dynamique et ses applications, being v. 3 of the authors' Commande optimale des processus
 Bibliography note
 Includes bibliographical references
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 pt. I. Discrete deterministic processes. The principles of dynamic programming  Processes with bounded horizon  Processes with infinite or unspecified horizon  Practical solution of the optimal recurrence relation  pt. II. Discrete random processes. General theory  Processes with discrete states  pt. III. Numerical synthesis of the optimal controller for a linear process. General discussion of the problem  Numerical optimal control of a measurable deterministic process  Numerical optimal control of a stochastic process  pt. IV. Continuous processes. Continuous deterministic processes  Continuous stochastic processes  pt. V. Applications. Introductory example  Minimum use of control effort in a firstorder system  Optimal tabulation of functions  Regulation of angular position with minimization of a quadratic criterion  Control of a stochastic system  Minimumtime depth change of a submersible vehicle  Optimal interception  Control of a continuous process  Filtering
 Control code
 162800
 Dimensions
 24 cm
 Extent
 xiv, 252 pages
 Isbn
 9780121189501
 Lccn
 79154364
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 System control number
 (WaOLN)501557
Subject
 Commande, Théorie de la
 Control theory
 Controle
 Dynamic programming
 Dynamische Optimierung
 Kontrolltheorie
 Optimale Kontrolle
 Programacao Dinamica
 Programmation dynamique
Member of
 Mathematics in science and engineering, v. 81
 Commande optimale des processus. 3. Programmation dynamique et ses applications
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