David G. Hull

Optimal Control Theory for Applications (eBook, PDF)

• Format: PDF

Produktbeschreibung

The published material represents the outgrowth of teaching analytical optimization to aerospace engineering graduate students. To make the material available to the widest audience, the prerequisites are limited to calculus and differential equations. It is also a book about the mathematical aspects of optimal control theory. It was developed in an engineering environment from material learned by the author while applying it to the solution of engineering problems. One goal of the book is to help engineering graduate students learn the fundamentals which are needed to apply the methods to engineering problems. The examples are from geometry and elementary dynamical systems so that they can be understood by all engineering students. Another goal of this text is to unify optimization by using the differential of calculus to create the Taylor series expansions needed to derive the optimality conditions of optimal control theory.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer US
• Seitenzahl: 384
• Erscheinungstermin: 9. März 2013
• Englisch
• ISBN-13: 9781475741803
• Artikelnr.: 44184640

Autorenporträt

Optimization, the area of mathematics concerned with finding the "best" points, curves, surfaces, etc., has many uses in engineering research and applications. Optimal Control Theory for Applications teaches analytical optimization at the graduate level. To make the material accessible to a wide audience, the prerequisites are limited to calculus and differential equations. Example problems are not tied to any engineering discipline. This material will benefit and interest both beginning engineering graduate students, as well as practicing engineers with the same background.

Inhaltsangabe

1 Introduction to Optimization.- I. Parameter Optimization.- 2 Unconstrained Minimization.- 3 Constrained Minimization: Equality Constraints.- 4 Constrained Minimization: Inequality Constraints.- 5 Minimization Using Matrix Notation.- II. Optimal Control Theory.- 6 Differentials in Optimal Control.- 7 Controllability.- 8 Simplest Optimal Control Problem.- 9 Fixed Final Time: First Differential.- 10 Fixed Final Time: Tests for a Minimum.- 11 Fixed Final Time: Second Differential.- 12 Fixed Final Time Guidance.- 13 Free Final Time.- 14 Parameters.- 15 Free Initial Time and States.- 16 Control Discontinuities.- 17 Path Constraints.- III. Approximate Solutions.- 18 Approximate Solutions of Algebraic Equations.- 19 Approximate Solutions of Differential Equations.- 20 Approximate Solutions of Optimal Control Problems.- 21 Conversion into a Parameter Optimization Problem.- Appendix: A First and Second Differentials by Taylor Series Expansion.- References.

Rezensionen

From the reviews: "It presents a unified approach to the conversion of nonlinear optimal control problems into parameter optimizations for numerical solutions. ... the book is written in a way that is very accessible to the audience. The selection of topics is useful and coherent, and the book is well organized. ... is highly effective in explaining basic ideas of optimal control. ... It can also be a useful reference to engineers and researchers who want to use applied optimal control theories for solving engineering problems ... ." (Yiyuan J. Zhao, International Journal of Robust and Nonlinear Control, Vol. 15 (17), 2005)