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Springer Applied and Computational Optimal Control Book

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Description

Expand your mathematical knowledge with Applied and Computational Optimal Control: A Control Parametrization Approach. This volume from the Springer Optimization and Its Applications series provides a rigorous and detailed exposition of control parametrization and time scaling transformation concepts. Designed for readers seeking advanced computational solution techniques, this book focuses on a special class of constrained optimal control problems. It bridges the gap between theoretical development and practical application by including real-world examples to illustrate complex methods. This publication serves as an essential extension of the 1991 monograph, A Unified Computational Approach to Optimal Control Problems, by K.L. Teo, C.J. Goh, and K.H. Wong. It is a valuable resource for those studying new theory and computational methods for solving various control problems in technical and mathematical fields.

Key Features

Detailed exposition of control parametrization and time scaling transformation concepts for advanced study.

Provides computational solution techniques specifically for constrained optimal control problems.

Includes practical examples to demonstrate the application of theoretical computational methods.

Acts as a direct extension to the 1991 monograph by K.L. Teo, C.J. Goh, and K.H. Wong.

Part of the Springer Optimization and Its Applications series, volume 171.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
25 May 2021
Listed Since
21 January 2021

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