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9780792368663

Optimization Methods and Applications

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  • ISBN13:

    9780792368663

  • ISBN10:

    0792368665

  • Format: Hardcover
  • Copyright: 2001-05-01
  • Publisher: Kluwer Academic Pub
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Summary

The book includes chapters on optimal control, nonlinear programming, global optimization, network optimization, and dynamic systems, dealing with theory, computational techniques and real-world applications. For the application chapters, the topics involved are optimum digital Laguerre network, stochastic optimal control model of solar powered car, personnel task scheduling problem, envelope constrained filter design and optimal steel casting. For practitioners, postgraduate students and researchers in optimization and optimal control.

Table of Contents

Preface xi
An Appreciation of Professor N.U. Ahmed xiii
A Publication List of Professor N.U. Ahmed xvii
Part I OPTIMAL CONTROL
Practical Stability of Impulsive Delay Differential Equations and Applications to Control Problems
3(20)
George Ballinger
Xinzhi Liu
Introduction
4(1)
Preliminaries
4(2)
Main Results
6(4)
Application
10(13)
References
21(2)
A Review of Ill-Conditioning and Regularization in Optimal Control Computation
23(22)
Francis Benyah
Les S. Jennings
Introduction
24(1)
Optimal Control Problem Template for MISER3
25(1)
Control Parametrization
26(1)
State Discretization Methods
27(3)
Condition Numbers for Constrained Optimization
30(2)
Test Problem 1
32(3)
Regularization of Optimal Control Problems
35(4)
Test Problem 2: The Container Crane Problem
39(1)
Conclusions
40(5)
References
42(3)
Worst-Case Optimal Regulation of Linear Systems in the Presence of Structured Perturbations
45(20)
Saroj K. Biswas
M. Bala Subrahmanyam
Introduction
46(1)
Problem Statement
47(3)
Optimal Solution
50(7)
Computation of Disturbance Rejection Capacity
57(1)
Examples
58(3)
Conclusions
61(4)
References
61(4)
True Proportional Navigation System with Acceleration Saturation Constraint
65(16)
Cheng-Chew Lim
Mingyan Li
Introduction
66(1)
System Model
66(2)
Saturation Constraint Analysis
68(6)
Observability with Saturation Constraint
74(2)
Simulation Results
76(3)
Conclusions
79(2)
References
79(2)
Evaluation of Penalty Functions for Optimal Control
81(24)
Rein Luus
Wichaya Mekarapiruk
Colin Storey
Introduction
82(1)
Problem Formulation
82(2)
Iterative Dynamic Programming (IDP)
84(2)
Numerical Results
86(14)
Concluding Remarks
100(5)
References
102(3)
On the Optimal Control Systems with Multiple Controllers
105(20)
Katsumi Moriwaki
Introduction
106(1)
Optimal Regulator and Preliminaries
107(2)
LQR Problem with 2 Controllers
109(6)
Controllers Decoupling via Internally Balanced State Space Representations
115(3)
Numerical Examples and Discussions
118(4)
Conclusion
122(3)
References
123(2)
Multilevel Optimization of Optimal Control Problems
125(14)
Volker Rehbock
Introduction
126(2)
General Problem
128(1)
Multilevel Approach
128(3)
Implementation
131(2)
Numerical Results
133(3)
Parallel Implementation
136(1)
Conclusions
137(2)
References
138(1)
Modified Direct Gradient Descent Control of Nonlinear Systems
139(12)
K. Shimizu
S. Ito
K. Otsuka
Introduction
140(1)
Direct Gradient Descent Control
140(2)
Modified Direct Gradient Descent Control
142(2)
Simulation
144(2)
Concluding Remarks
146(5)
References
146(2)
Appendix: Stability
148(3)
Computation of Feedback Control for Infinite Time Optimal Control Problems
151(16)
K.H. Wong
G. Peter
Introduction
152(1)
Problem Statement
153(1)
The Approximation Problem (P(T))
153(1)
Synthesizing the Optimal Feedback Control Law for the Approximate Problem (P(T))
154(2)
Interpolation using a Cubic Spline Approach on the Fitting Domain DT
156(1)
Creating an Approximate Problem Using Cubic Spline Feedback Structure on the Domain DT
157(1)
Properties of Asymptotic Stability of the Optimal Control Feedback Control of the Problem (Q)
158(1)
Finite Time Approximation to the Problem (Q)
159(1)
A Practical Example
159(8)
References
163(4)
Part II OPTIMIZATION METHODS
A Homogenized Cutting Plane Method to Solve the Convex Feasibility Problem
167(24)
E. D. Andersen
J. E. Mitchell
C. Roos
T. Terlaky
Introduction
168(1)
Barrier functions and proximity measures
169(2)
A column generation method
171(4)
Choosing a restart point
175(3)
Global convergence
178(1)
An implementation
179(6)
Computational results
185(3)
Conclusions
188(3)
References
189(2)
Algorithms for Some Hard Knapsack Problems
191(28)
Louis Caccetta
Araya Kulanoot
Introduction
192(3)
Preliminaries
195(2)
Subset Sum Problem (SSP)
197(4)
Strongly Correlated Problem (SCKP)
201(4)
Inverse Strongly Correlated Knapsack Problem (ISCKP)
205(2)
Bounded Knapsack Problem (BKP)
207(7)
Conclusions
214(5)
References
214(5)
Non-Static Network Optimization Problems: A Survey
219(28)
X. Cai
D. Sha
C. K. Wong
Introduction
220(1)
The Non-Static Network Flow Model
220(4)
Non-Static Shortest Path Problems
224(3)
Non-Static Maximum Flow Problems
227(3)
Non-Static Minimum Cost Flow Problems
230(3)
Non-Static Vehicle Routing Problems
233(3)
Other Non-Static Network Optimzation Problems
236(1)
Conclusions
237(10)
References
238(9)
Asymptotic Rates of Convergence of SQP-Type Methods of Feasible Directions
247(20)
Michael M. Kostreva
Xibin Chen
Introduction
248(2)
Definitions and Propositions
250(4)
Asymptotic Rate of Convergence
254(8)
Comparison of Convergence Rates
262(1)
Conclusions
263(4)
References
264(3)
Nonlinear Lagrangian Methods in Constrained Nonlinear Optimization
267(12)
Duan Li
Xiaolin Sun
Introduction
268(2)
p-th Power Lagrangian Method
270(1)
Minimax-type Lagrangian Function
271(3)
Logarithmic-Exponential Lagrangian Function
274(2)
Conclusions
276(3)
References
276(3)
Parallel Algorithms for Solving Large-Scale Nonlinear Optimization Problems
279(16)
Paul Kang-Hoh Phua
Daohua Ming
Weiguo Fan
Yan Zhang
Conventional Methods for Nonlinear Optimization
280(1)
Parallel Quasi-Newton Algorithms
281(3)
Vectorization and Fine-tuning Techniques
284(4)
Computational Results
288(7)
References
293(2)
Second Order Strict Converse Duality in Nonlinear Fractional Programming
295(14)
Xin Min Yang
Kok Lay Teo
Xiaoqi Yang
Introduction and Preliminaries
296(2)
Second Order Strict Converse Duality I
298(4)
Second Order Strict Converse Duality II
302(7)
References
305(4)
Part III OPTIMIZATION APPLICATIONS
Chebyshev Optimization of Circular Arrays
309(12)
Mattias Dahl
Ingvar Claesson
Sven Nordebo
Sven Nordholm
Introduction
310(1)
Problem Formulation
311(1)
The Complex Chebyshev Approximation Problem as a Semi-Infinite Linear Program
312(1)
Semi-Infinite Linear Programming
313(2)
Brief Outline of Linear Programming
315(1)
Numerical Example
316(1)
Summary
317(4)
References
317(4)
Optimum Pole Position for Digital Laguerre Network with Least Square Error Criterion
321(10)
H. H. Dam
Kok Lay Teo
Yanqun Liu
S. Nordebo
Introduction
322(1)
Problem Formulation
322(2)
Optimization Method
324(2)
Simulation Studies
326(2)
Conclusions
328(3)
References
329(2)
A Markov Model for the Stochastic Optimal Control of a Solar Powered Car
331(12)
Phil Howlett
Introduction
332(1)
Formulation
332(1)
A Recursive Equation for the Optimal Controls
333(3)
The Properties of the Optimal Controls
336(2)
Some Elementary Examples
338(3)
Conclusions
341(2)
References
341(2)
The Personnel Task Scheduling Problem
343(26)
Mohan Krishnamoorthy
Andreas T Ernst
Introduction
344(1)
The PTSP
344(4)
Variants of the PTSP
348(9)
Literature Review
357(2)
Applications
359(3)
Test Data
362(4)
Conclusions
366(3)
References
367(2)
Envelope Constrained Filter Design: Robustness Issues
369(30)
B. Vo
A. Cantoni
Introduction
370(2)
Envelope Constrained Filtering
372(8)
Robustness Issues
380(15)
Conclusions
395(4)
References
395(4)
A Robust Numerical Algorithm for the Optimal Control of Heat Transfer in the Continuous Casting of Steel
399(1)
Y.H. Wu
M. Chuedoung
G. Zhang
Introduction
400(1)
Heat Transfer Model
401(2)
Statement of the Optimal Control Problem
403(1)
Numerical Method for the Optimal Control Problem
404(2)
Numerical Approximation of the Jacobian Matrix
406(1)
Numerical Algorithm
407(1)
An Illustrative Example
408(2)
Conclusions
410(1)
References
411

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