|Listed in category:
Have one to sell?

Optimal Control : Basics and Beyond, Hardcover by Whittle, Peter, Brand New, ...

Great Book Prices Store
(340079)
Registered as a business seller
US $401.94
Approximately£300.94
Condition:
New
3 available
Breathe easy. Returns accepted.
Postage:
Free USPS Media MailTM.
Located in: Jessup, Maryland, United States
Delivery:
Estimated between Mon, 11 Aug and Tue, 19 Aug
Estimated delivery dates - opens in a new window or tab reflect seller's dispatch time, origin postcode, destination postcode and time of order receipt, and will depend on the delivery service selected and receipt of cleared paymentcleared payment - opens in a new window or tab. Delivery times may vary, especially during peak periods, and are an estimate only.
Returns:
14 days return. Buyer pays for return postage. If you use an eBay delivery label, it will be deducted from your refund amount.
Payments:
    Diners Club

Shop with confidence

eBay Money Back Guarantee
Get the item you ordered or your money back. Learn moreeBay Money Back Guarantee - opens new window or tab
Seller assumes all responsibility for this listing.
eBay item number:365708698851
Last updated on 29 Jul, 2025 04:27:32 BSTView all revisionsView all revisions

Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Optimal Control : Basics and Beyond
ISBN
9780471956792

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471956791
ISBN-13
9780471956792
eBay Product ID (ePID)
722873

Product Key Features

Number of Pages
480 Pages
Publication Name
Optimal Control : Basics and Beyond
Language
English
Publication Year
1996
Subject
Automation, Mechanics / Dynamics, Discrete Mathematics
Type
Textbook
Author
Peter Whittle
Subject Area
Mathematics, Technology & Engineering, Science
Series
Wiley Interscience Series in Systems and Optimization Ser.
Format
Hardcover

Dimensions

Item Height
1.4 in
Item Weight
29.1 Oz
Item Length
9.4 in
Item Width
6.3 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
95-022113
Dewey Edition
20
Series Volume Number
7
Illustrated
Yes
Dewey Decimal
629.8
Table Of Content
BASICS. Deterministic Models. Stochastic Models. BEYOND. Risk-Sensitive and H infinity Criteria. Time-Integral Methods and Optimal Stationary Policies. Near-Determinism and Large Deviation Theory. Appendices. References. Index.
Synopsis
The concept of a system as an entity in its own right has emergedwith increasing force in the past few decades in, for example, theareas of electrical and control engineering, economics, ecology,urban structures, automaton theory, operational research andindustry. The more definite concept of a large-scale system isimplicit in these applications, but is particularly evident infields such as the study of communication networks, computernetworks and neural networks. The Wiley-Interscience Series inSystems and Optimization has been established to serve the needs ofresearchers in these rapidly developing fields. It is intended forworks concerned with developments in quantitative systems theory,applications of such theory in areas of interest, or associatedmethodology. This is the first book-length treatment of risk-sensitive control,with many new results. The quadratic cost function of the standardLQG (linear/quadratic/Gaussian) treatment is replaced by theexponential of a quadratic, giving the so-called LEQG formulationallowing for a degree of optimism or pessimism on the part of theoptimiser. The author is the first to achieve formulation and proofof risk-sensitive versions of the certainty-equivalence andseparation principles. Further analysis allows one to formulate theoptimization as the extremization of a path integral and tocharacterize the solution in terms of canonical factorization. Itis thus possible to achieve the long-sought goal of an operationalstochastic maximum principle, valid for a higher-order model, andin fact only evident when the models are extended to therisk-sensitive class. Additional results include deduction ofcompact relations between value functions and canonical factors,the exploitation of the equivalence between policy improvement andNewton Raphson methods and the direct relation of LEQG methods tothe H? and minimum-entropy methods. This book will proveessential reading for all graduate students, researchers andpractitioners who have an interest in control theory includingmathematicians, engineers, economists, physicists andpsychologists. 1990 Stochastic Programming Peter Kall, Universityof Zurich, Switzerland and Stein W. Wallace, University ofTrondheim, Norway Stochastic Programming is the first textbook toprovide a thorough and self-contained introduction to the subject.Carefully written to cover all necessary background material fromboth linear and non-linear programming, as well as probabilitytheory, the book draws together the methods and techniquespreviously described in disparate sources. After introducing theterms and modelling issues when randomness is introduced in adeterministic mathematical programming model, the authors coverdecision trees and dynamic programming, recourse problems,probabilistic constraints, preprocessing and network problems.Exercises are provided at the end of each chapter. Throughout, theemphasis is on the appropriate use of the techniques, rather thanon the underlying mathematical proofs and theories, making the bookideal for researchers and students in mathematical programming andoperations research who wish to develop their skills in stochasticprogramming. 1994, The concept of a system as an entity in its own right has emergedwith increasing force in the past few decades in, for example, theareas of electrical and control engineering, economics, ecology, urban structures, automaton theory, operational research andindustry. The more definite concept of a large-scale system isimplicit in these applications, but is particularly evident infields such as the study of communication networks, computernetworks and neural networks. The Wiley-Interscience Series inSystems and Optimization has been established to serve the needs ofresearchers in these rapidly developing fields. It is intended forworks concerned with developments in quantitative systems theory, applications of such theory in areas of interest, or associatedmethodology. This is the first book-length treatment of risk-sensitive control, with many new results. The quadratic cost function of the standardLQG (linear/quadratic/Gaussian) treatment is replaced by theexponential of a quadratic, giving the so-called LEQG formulationallowing for a degree of optimism or pessimism on the part of theoptimiser. The author is the first to achieve formulation and proofof risk-sensitive versions of the certainty-equivalence andseparation principles. Further analysis allows one to formulate theoptimization as the extremization of a path integral and tocharacterize the solution in terms of canonical factorization. Itis thus possible to achieve the long-sought goal of an operationalstochastic maximum principle, valid for a higher-order model, andin fact only evident when the models are extended to therisk-sensitive class. Additional results include deduction ofcompact relations between value functions and canonical factors, the exploitation of the equivalence between policy improvement andNewton Raphson methods and the direct relation of LEQG methods tothe H and minimum-entropy methods. This book will proveessential reading for all graduate students, researchers andpractitioners who have an interest in control theory includingmathematicians, engineers, economists, physicists andpsychologists. 1990 Stochastic Programming Peter Kall, Universityof Zurich, Switzerland and Stein W. Wallace, University ofTrondheim, Norway Stochastic Programming is the first textbook toprovide a thorough and self-contained introduction to the subject.Carefully written to cover all necessary background material fromboth linear and non-linear programming, as well as probabilitytheory, the book draws together the methods and techniquespreviously described in disparate sources. After introducing theterms and modelling issues when randomness is introduced in adeterministic mathematical programming model, the authors coverdecision trees and dynamic programming, recourse problems, probabilistic constraints, preprocessing and network problems.Exercises are provided at the end of each chapter. Throughout, theemphasis is on the appropriate use of the techniques, rather thanon the underlying mathematical proofs and theories, making the bookideal for researchers and students in mathematical programming andoperations research who wish to develop their skills in stochasticprogramming. 1994, The concept of a system as an entity in its own right has emerged with increasing force in the past few decades in, for example, the areas of electrical and control engineering, economics, ecology, urban structures, automaton theory, operational research and industry., The concept of a system as an entity in its own right has emerged with increasing force in the past few decades in, for example, the areas of electrical and control engineering, economics, ecology, urban structures, automaton theory, operational research and industry. The more definite concept of a large-scale system is implicit in these applications, but is particularly evident in fields such as the study of communication networks, computer networks and neural networks. The Wiley-Interscience Series in Systems and Optimization has been established to serve the needs of researchers in these rapidly developing fields. It is intended for works concerned with developments in quantitative systems theory, applications of such theory in areas of interest, or associated methodology. This is the first book-length treatment of risk-sensitive control, with many new results. The quadratic cost function of the standard LQG (linear/quadratic/Gaussian) treatment is replaced by the exponential of a quadratic, giving the so-called LEQG formulation allowing for a degree of optimism or pessimism on the part of the optimiser. The author is the first to achieve formulation and proof of risk-sensitive versions of the certainty-equivalence and separation principles. Further analysis allows one to formulate the optimization as the extremization of a path integral and to characterize the solution in terms of canonical factorization. It is thus possible to achieve the long-sought goal of an operational stochastic maximum principle, valid for a higher-order model, and in fact only evident when the models are extended to the risk-sensitive class. Additional results include deduction of compact relations between value functions and canonical factors, the exploitation of the equivalence between policy improvement and Newton?Raphson methods and the direct relation of LEQG methods to the H? and minimum-entropy methods. This book will prove essential reading for all graduate students, researchers and practitioners who have an interest in control theory including mathematicians, engineers, economists, physicists and psychologists. 1990 Stochastic Programming Peter Kall, University of Zrich, Switzerland and Stein W. Wallace, University of Trondheim, Norway Stochastic Programming is the first textbook to provide a thorough and self-contained introduction to the subject. Carefully written to cover all necessary background material from both linear and non-linear programming, as well as probability theory, the book draws together the methods and techniques previously described in disparate sources. After introducing the terms and modelling issues when randomness is introduced in a deterministic mathematical programming model, the authors cover decision trees and dynamic programming, recourse problems, probabilistic constraints, preprocessing and network problems. Exercises are provided at the end of each chapter. Throughout, the emphasis is on the appropriate use of the techniques, rather than on the underlying mathematical proofs and theories, making the book ideal for researchers and students in mathematical programming and operations research who wish to develop their skills in stochastic programming. 1994
LC Classification Number
TJ213.W442 1996

Item description from the seller

Seller business information

I certify that all my selling activities will comply with all EU laws and regulations.
About this seller

Great Book Prices Store

96.8% positive Feedback1.4M items sold

Joined Feb 2017
Usually responds within 24 hours
Registered as a business seller

Detailed seller ratings

Average for the last 12 months
Accurate description
4.9
Reasonable postage cost
5.0
Delivery time
5.0
Communication
4.9

Seller Feedback (385,580)

All ratings
Positive
Neutral
Negative
  • c***m (417)- Feedback left by buyer.
    Past 6 months
    Verified purchase
    AAA+++; Excellent Service; Great Pricing; Fast Delivery-Faster Than Expected to Hawaii using free shipping USPS Ground Mail, Received 06/18; Paperback book in Great Condition as Described ; TLC Packaging; Excellent Seller Communication, Sends updates . Highly Recommended!, Thank you very much!
  • l***1 (1489)- Feedback left by buyer.
    Past 6 months
    Verified purchase
    Great seller; book exactly as described in mint condition sold at a reasonable price; seller shipped item FAST, FREE and with tracking information, a must nowadays; seller shipped in tight, cardboard mailing envelope, which tightly fit over the book, preventing damage in shipment; good communication too; rate seller 10+++++
  • c***t (921)- Feedback left by buyer.
    Past 6 months
    Verified purchase
    The book I bought was reasonably priced and when it arrived it was in the 'Like New' condition specified in the listing. However, when I saw that the seller had not shipped the book after more than 15 days had passed since my order I felt I must write to say that I had actually placed an order with the seller and inquire when it planned to send the book. The brusque reply was that a tracking number was available, but no number HAD been created until I pointed out that I had placed the order.