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Practical Methods for Optimal Control Using Nonlinear Programming (Advances in Design and Control), by John T. Betts
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This is quite possibly the first book on practical methods that combines nonlinear optimization, mathematical control theory, and numerical solution of ordinary differential or differential-algebraic equations to successfully solve optimal control problems. The focus of the book is on practical methods, i.e., methods that the author has found to actually work. Everything described in the book has been implemented in production software and used to solve real problems. The author's general discussion of the topic maintains a focused and concise presentation. Using modern computational methods based on nonlinear programming algorithms, he introduces the basic material necessary to solve an optimal control problem. There are two major parts of a successful optimal control solution technique. The first part is the optimization method. The second part is the differential equation method. Betts's goal is to suggest that methods used to solve differential equations and optimize the functions are intimately related.
- Sales Rank: #6685870 in Books
- Published on: 2001-05-15
- Original language: English
- Number of items: 1
- Dimensions: 8.98" h x .59" w x 5.98" l, 1.30 pounds
- Binding: Hardcover
- 190 pages
From the Publisher
Audience
The material is presented at a level suitable for most advanced engineering students interested in practical applications. The book is oriented toward analysts interested in solving practical problems. Although the first few chapters refresh the reader's knowledge of nonlinear optimization, mathematical control theory, and numerical solution of ordinary differential and/or differential-algebraic equations, readers will need at least an introductory background on this material.
About the Author
John T. Betts is an Associate Technical Fellow in the Research and Technology Division of The Boeing Company in Seattle, Washington. He is a member of the AIAA and SIAM and continues to do active research in nonlinear programming and optimal control theory.
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