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Numerical Methods for Optimal Control Problems: Your Guide to Solving Real-World Challenges

Bryce Foster

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Published in Numerical Methods For Optimal Control Problems (Springer INdAM 29)

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In today's fast-paced, data-driven world, optimizing system performance is crucial for businesses, scientists, and engineers across industries. Numerical Methods for Optimal Control Problems, the latest installment in Springer's prestigious Indam Series, empowers you with the tools and techniques to tackle complex optimal control problems and unlock the full potential of your systems.

Authored by leading experts in the field, this comprehensive volume delves into the fundamentals of optimal control theory and provides a practical, hands-on approach to solving real-world problems. From mathematical modeling and analysis to numerical simulation and implementation, Numerical Methods for Optimal Control Problems covers everything you need to master this essential discipline.

Numerical Methods for Optimal Control Problems (Springer INdAM 29)

Numerical Methods for Optimal Control Problems (Springer INdAM Series Book 29)

by Christopher Burgess

5 out of 5

Language	:	English
File size	:	8915 KB
Screen Reader	:	Supported
Print length	:	278 pages

Why Numerical Methods for Optimal Control Problems?

Optimal control theory is a powerful tool for designing and optimizing systems in a wide range of fields, including:

Aerospace engineering
Robotics
Chemical engineering
Economics
Finance

However, solving optimal control problems analytically can be extremely challenging, especially for complex systems with multiple variables and non-linear constraints. This is where numerical methods come into play.

Numerical methods provide a practical and computationally efficient way to approximate the solution to optimal control problems. By discretizing the problem and using iterative algorithms, numerical methods can find optimal solutions even for complex systems that are intractable analytically.

What You Will Learn from Numerical Methods for Optimal Control Problems

Numerical Methods for Optimal Control Problems is designed to provide a thorough understanding of the subject, from basic concepts to advanced techniques. This book will equip you with the knowledge and skills to:

Formulate optimal control problems mathematically
Analyze the properties of optimal control problems
Design and implement numerical methods for solving optimal control problems
Apply numerical methods to solve real-world problems in various fields

Whether you are a student, researcher, or practitioner in optimal control, Numerical Methods for Optimal Control Problems will serve as an invaluable resource throughout your career.

Key Features of Numerical Methods for Optimal Control Problems

Comprehensive coverage of numerical methods for optimal control problems
Written by leading experts in the field
Provides a practical, hands-on approach to solving real-world problems
Includes numerous examples and exercises to reinforce learning
Suitable for students, researchers, and practitioners in optimal control

With Numerical Methods for Optimal Control Problems, you will gain the expertise to tackle complex system optimization challenges and drive innovation in your field.

Free Download Your Copy Today

Don't miss out on this essential guide to numerical methods for optimal control problems. Free Download your copy of Numerical Methods for Optimal Control Problems from Springer Indam 29 today and unlock the power of system optimization.

Numerical Methods for Optimal Control Problems is an indispensable resource for anyone seeking to master optimal control theory and its practical applications. With its comprehensive coverage, expert insights, and practical approach, this book will empower you to solve complex system optimization challenges and achieve optimal performance in your field.

Free Download your copy today and embark on the journey to becoming an expert in optimal control.

Numerical Methods for Optimal Control Problems (Springer INdAM Series Book 29)

by Christopher Burgess

5 out of 5