Optimal Control: Calculus of Variations, Optimal Control Theory and Numerical Methods

معرفی کتاب

کتاب "Optimal Control: Calculus of Variations, Optimal Control Theory and Numerical Methods" یک منبع جامع و کاملاً بی‌نظیر است که به اصول و کاربردهای کنترل بهینه می‌پردازد. این کتاب توسط پروفسور دکتر ولادیمیر جی. بولتیانسکی و همکارانش نوشته شده و به بررسی جزئیاتی از قبیل Calculus of Variations، نظریه Optimal Control و روش‌های عددی پرداخته است.

Introduction

Welcome to the fascinating world of optimal control, where mathematics and applied science converge to solve complex problems across various disciplines. "Optimal Control: Calculus of Variations, Optimal Control Theory, and Numerical Methods" is an comprehensive text that delves deeply into the intricacies of optimization, providing both theoretical insights and practical techniques for solving real-world problems. Edited by Prof. Dr. R. Bulirsch, Dr. A. Miele, Prof. Dr. J. Stoer, and Prof. Dr. K. Well, this book serves as an essential resource for students, researchers, and practitioners alike.

Detailed Summary

This book explores the fundamental principles and advanced concepts of optimal control and calculus of variations. It begins with a historical overview, tracing the evolution of these fields and their significance in mathematical science. The narrative then progresses to foundational concepts, such as the derivation of Euler-Lagrange equations and the articulation of Pontryagin's Maximum Principle, which are critical in understanding optimization problems.

As the text unfolds, it seamlessly transitions to more complex topics, including dynamic systems and numerical methods for solving optimal control problems. The authors place particular emphasis on the interplay between theory and application, illustrating methodologies through meticulously detailed examples. Readers can expect to encounter problems ranging from the classical brachistochrone problem to modern applications in aerospace and engineering.

The book is not merely an academic treatise but a hands-on guide that equips readers with the necessary tools to tackle optimization challenges. It includes practical exercises, case studies, and detailed examples that demonstrate how to implement numerical techniques such as the shooting method, collocation methods, and gradient-based algorithms.

Key Takeaways

• Comprehensive Coverage: The book provides an exhaustive treatment of the calculus of variations and optimal control theory, making it an indispensable resource for both novice and expert readers.
• Integration of Theory and Practice: Through detailed examples and practical exercises, readers gain insights into how to apply theoretical concepts in real-world scenarios.
• Advanced Numerical Techniques: The text introduces advanced numerical methods, equipping readers with the skills needed to solve complex optimization problems.
• Interdisciplinary Applications: Explore the applications of optimal control across various fields such as aerospace, economics, and engineering, showcasing its broad impact.

Famous Quotes from the Book

"Optimal control is not just mathematics, it is a bridge between theory and application, a tool for unlocking the potential of systems and processes."

"The calculus of variations stands at the heart of optimal control, providing a foundation upon which the fortress of optimization is built."

Why This Book Matters

In an era where optimization is critical for the advancement of technology and efficiency, "Optimal Control: Calculus of Variations, Optimal Control Theory, and Numerical Methods" stands out as a seminal work. By blending theoretical rigour with practical insights, it serves as a pivotal resource for those seeking to deepen their understanding of optimization processes and techniques.

Whether you are a student seeking foundational knowledge, a researcher exploring the frontiers of applied mathematics, or a practitioner driving technological innovations, this book offers valuable insights and methodologies. Its interdisciplinary approach underscores the versatility of optimal control, making it applicable to a wide array of scientific and engineering problems.