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Springer Applied and Computational Optimal Control - Springer

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Description

This rigorous academic text by Springer provides a comprehensive exploration of control parametrization and time scaling transformation techniques for solving constrained optimal control problems. Building on foundational computational approaches, the book presents detailed exposition of theory and practical computational methods applicable to real-world optimal control scenarios. Designed for researchers, engineers, and advanced students, it combines mathematical rigour with actionable solution techniques, making it an essential reference for anyone working in optimal control systems, operations research, or applied mathematics.

Key Features

Springer Optimization and Its Applications volume 171 offers rigorous theory on control parametrization methodology.

Presents computational solution techniques specifically designed for constrained optimal control problem classes.

Includes practical applications and examples demonstrating real-world implementation of control approaches.

Extends the foundational computational methods from the 1991 monograph by K.L. Teo, C.J. Goh, and K.H. Wong.

Product Specifications

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

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