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9780792386087

Optimal Control Theory

by ;
  • ISBN13:

    9780792386087

  • ISBN10:

    0792386086

  • Edition: 2nd
  • Format: Hardcover
  • Copyright: 2000-07-01
  • Publisher: Kluwer Academic Pub
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List Price: $229.00

Summary

Sethi and Thompson have provided management science and economics communities with a thoroughly revised edition of their classic text on Optimal Control Theory. Central to the book is its extraordinarily wide range of optimal control theory applications. Chapter 5 covers finance; Chapter 6 considers production and inventory problems; Chapter 7 covers marketing problems; Chapter 9 treats machine maintenance and replacement; Chapter 10 deals with problems of optimal consumption of natural resources (renewable or exhaustible); and Chapter 11 discusses a number of applications of control theory to economics. The book has been successfully used as a professional reference tool and as a graduate course book. Its usefulness lies in its emphasis on building applied models of realistic problems faced in a variety of business management situations. The new edition has been completely refined with careful attention to the text and graphic material presentation. In Chapter 3, models have been added that use mixed (control and state) constraints, current value formulations, and terminal conditions. Chapter 4 now covers more advanced material on pure state constraints as they relate to mixed constraints. Each of these chapters contains new results that were not available when the first edition was published. Another important change is the expansion of the material on stochastic optimal control theory, which has become the new Chapter 13. This new chapter provides a brief introduction to stochastic optimal control problems, and it contains formulations of simple stochastic models in production, marketing and finance, and their solutions. Optimal control methods are used to determine optimal ways to control a dynamic system. The theoretical work in this field serves as a foundation for the book, which the authors have applied to business management problems developed from their research and classroom instruction.

Table of Contents

Preface to First Edition xiii
Preface to Second Edition xv
What is Optimal Control Theory
1(22)
Basic Concepts and Definitions
2(2)
Formulation of Simple Control Models
4(3)
History of Optimal Control Theory
7(3)
Notation and Concepts Used
10(13)
The Maximum Principle: Continuous Time
23(34)
Statement of the Problem
23(4)
The Mathematical Model
24(1)
Constraints
24(1)
The Objective Function
25(1)
The Optimal Control Problem
25(2)
Dynamic Programming and the Maximum Principle
27(9)
The Hamilton-Jacobi-Bellman Equation
27(4)
Derivation of the Adjoint Equation
31(2)
The Maximum Principle
33(1)
Economic Interpretations of the Maximum Principle
34(2)
Elementary Examples
36(8)
Sufficiency Conditions
44(4)
Solving a TPBVP by Using Spreadsheet Software
48(9)
The Maximum Principle: Mixed Inequality Constraints
57(40)
A Maximum Principle for Problems with Mixed Inequality Constraints
58(6)
Sufficiency Conditions
64(1)
Current-Value Formulation
65(4)
Terminal Conditions
69(11)
Examples Illustrating Terminal Conditions
74(6)
Infinite Horizon and Stationarity
80(3)
Model Types
83(14)
The Maximum Principle: General Inequality Constraints
97(22)
Pure State Variable Inequality Constraints: Indirect Method
98(6)
Jump Conditions
103(1)
A Maximum Principle: Indirect Method
104(7)
Current-Value Maximum Principle: Indirect Method
111(2)
Sufficiency Conditions
113(6)
Applications to Finance
119(34)
The Simple Cash Balance Problem
120(9)
The Model
120(1)
Solution by the Maximum Principle
121(3)
An Extension Disallowing Overdraft and Short-Selling
124(5)
Optimal Financing Model
129(24)
The Model
129(2)
Application of the Maximum Principle
131(2)
Synthesis of Optimal Control Paths
133(11)
Solution for the Infinite Horizon Problem
144(9)
Applications to Production and Inventory
153(32)
A Production-Inventory System
154(10)
The Production-Inventory Model
154(2)
Solution by the Maximum Principle
156(3)
The Infinite Horizon Solution
159(1)
A Complete Analysis of the Constant Positive S Case with Infinite Horizon
160(2)
Special Cases of Time Varying Demands
162(2)
Continuous Wheat Trading Model
164(9)
The Model
165(1)
Solution by the Maximum Principle
166(1)
Complete Solution of a Special Case
167(3)
The Wheat Trading Model with No Short-Selling
170(3)
Decision Horizons and Forecast Horizons
173(12)
Horizons for the Wheat Trading Model
174(1)
Horizons for the Wheat Trading Model with Warehousing Constraint
175(10)
Applications to Marketing
185(32)
The Nerlove-Arrow Advertising Model
186(8)
The Model
186(2)
Solution by the Maximum Principle
188(3)
A Nonlinear Extension
191(3)
The Vidale-Wolfe Advertising Model
194(23)
Optimal Control Formulation for the Vidale-Wolfe Model
195(1)
Solution Using Green's Theorem when Q is Large
196(9)
Solution When Q Is Small
205(1)
Solution When T Is Infinite
206(11)
The Maximum Principle: Discrete Time
217(24)
Nonlinear Programming Problems
217(11)
Lagrange Multipliers
218(2)
Inequality Constraints
220(7)
Theorems from Nonlinear Programming
227(1)
A Discrete Maximum Principle
228(6)
A Discrete-Time Optimal Control Problem
228(1)
A Discrete Maximum Principle
229(2)
Examples
231(3)
A General Discrete Maximum Principle
234(7)
Maintenance and Replacement
241(26)
A Simple Maintenance and Replacement Model
242(6)
The Model
242(1)
Solution by the Maximum Principle
243(2)
A Numerical Example
245(2)
An Extension
247(1)
Maintenance and Replacement for a Machine Subject to Failure
248(6)
The Model
249(2)
Optimal Policy
251(2)
Determination of the Sale Date
253(1)
Chain of Machines
254(13)
The Model
254(2)
Solution by the Discrete Maximum Principle
256(1)
Special Case of Bang-Bang Control
257(1)
Incorporation into the Wagner-Whitin Framework for a Complete Solution
258(1)
A Numerical Example
259(8)
Applications to Natural Resources
267(22)
The Sole Owner Fishery Resource Model
268(5)
The Dynamics of Fishery Models
268(1)
The Sole Owner Model
269(1)
Solution by Green's Theorem
270(3)
An Optimal Forest Thinning Model
273(6)
The Forestry Model
273(1)
Determination of Optimal Thinning
274(2)
A Chain of Forests Model
276(3)
An Exhaustible Resource Model
279(10)
Formulation of the Model
279(3)
Solution by the Maximum Principle
282(7)
Economic Applications
289(18)
Models of Optimal Economic Growth
289(6)
An Optimal Capital Accumulation Model
290(1)
Solution by the Maximum Principle
290(1)
A One-Sector Model with a Growing Labor Force
291(1)
Solution by the Maximum Principle
292(3)
A Model of Optimal Epidemic Control
295(4)
Formulation of the Model
295(1)
Solution by Green's Theorem
296(3)
A Pollution Control Model
299(4)
Model Formulation
299(1)
Solution by the Maximum Principle
300(1)
Phase Diagram Analysis
301(2)
Miscellaneous Applications
303(4)
Differential Games, Distributed Systems, and Impulse Control
307(32)
Differential Games
308(7)
Two Person Zero-Sum Differential Games
308(2)
Nonzero-Sum Differential Games
310(2)
An Application to the Common-Property Fishery Resources
312(3)
Distributed Parameter Systems
315(7)
The Distributed Parameter Maximum Principle
317(1)
The Cattle Ranching Problem
318(4)
Interpretation of the Adjoint Function
322(1)
Impulse Control
322(17)
The Oil Driller's Problem
324(1)
The Maximum Principle for Impulse Optimal Control
325(2)
Solution of the Oil Driller's Problem
327(4)
Machine Maintenance and Replacement
331(1)
Application of the Impulse Maximum Principle
332(7)
Stochastic Optimal Control
339(24)
The Kalman Filter
340(5)
Stochastic Optimal Control
345(2)
A Stochastic Production Planning Model
347(5)
Solution for the Production Planning Problem
350(2)
A Stochastic Advertising Problem
352(3)
An Optimal Consumption-Investment Problem
355(5)
Concluding Remarks
360(3)
A Solutions of Linear Differential Equations 363(16)
A.1 Linear Differential Equations with Constant Coefficients
363(1)
A.2 Homogeneous Equations of Order One
364(1)
A.3 Homogeneous Equations of Order Two
364(1)
A.4 Homogeneous Equations of Order n
365(1)
A.5 Particular Solutions of Linear D.E. with Constant Coefficients
366(2)
A.6 Integrating Factor
368(1)
A.7 Reduction of Higher-Order Linear Equations to Systems of First-Order Linear Equations
369(3)
A.8 Solution of Linear Two-Point Boundary Value Problems
372(1)
A.9 Homogeneous Partial Differential Equations
372(2)
A.10 Inhomogeneous Partial Differential Equations
374(1)
A.11 Solutions of Finite Difference Equations
375(4)
A.11.1 Changing Polynomials in Powers of k into Factorial Powers of k
376(1)
A.11.2 Changing Factorial Powers of k into Ordinary Powers of k
377(2)
B Calculus of Variations and Optimal Control Theory 379(14)
B.1 The Simplest Variational Problem
379(1)
B.2 The Euler Equation
380(3)
B.3 The Shortest Distance Between Two Points on the Plane
383(1)
B.4 The Brachistochrone Problem
384(2)
B.5 The Weierstrass-Erdmann Corner Conditions
386(2)
B.6 Legendre's Conditions: The Second Variation
388(1)
B.7 Necessary Condition for a Strong Maximum
389(1)
B.8 Relation to the Optimal Control Theory
390(3)
C An Alternative Derivation of the Maximum Principle 393(8)
C.1 Needle-Shaped Variation
394(2)
C.2 Derivation of the Adjoint Equation and the Maximum Principle
396(5)
D Special Topics in Optimal Control 401(8)
D.1 Linear-Quadratic Problems
401(4)
D.1.1 Certainty Equivalence or Separation Principle
403(2)
D.2 Second Order Variations
405(2)
D.3 Singular Control
407(2)
E Answers to Selected Exercises 409(8)
Bibliography 417(66)
Index 483(18)
List of Figures 501(4)
List of Tables 505

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