Neural Networks and Adaptive Control
AN ONLINE MACHINE LEARNING PERSPECTIVE
This book presents a modern approach to system identification and adaptive control through the lens of online machine learning. It bridges theory and practice, guiding readers from classical linear control to advanced nonlinear adaptive methods with MATLAB examples. Designed for students, researchers, and engineers, it provides the knowledge and tools to design intelligent control systems for real-world applications.
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This book presents a modern approach to system identification and adaptive control through the lens of online machine learning. It bridges theory and practice, guiding readers from classical linear control to advanced nonlinear adaptive methods with MATLAB examples. Designed for students, researchers, and engineers, it provides the knowledge and tools to design intelligent control systems for real-world applications.
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About the Book
Discover the future of systems control with this innovative book on identification and adaptive control.
Written by an industrial engineer with specialized training in automatic control and machine learning, this book offers a modern and practical perspective on the design of adaptive systems applied to real-world environments, guiding readers step by step from linear control theory to nonlinear adaptive control.
It delves deeply into the theoretical and practical foundations of systems control, with a focus on online machine learning. Ideal for students, researchers, and engineers, it presents powerful tools for addressing the identification and control of nonlinear systems in real time.
The book includes practical examples programmed in MATLAB, freely available on the book’s website, enabling applied understanding of each concept. Additionally, it contains detailed mathematical demonstrations to strengthen comprehension of the fundamentals of adaptive control.
Whether you are beginning in the field or looking to expand your skills in intelligent control, this book is an essential guide to the control technologies of the future.
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About the Author
César Antonio López Segura
C.A.L Segura holds degrees in Industrial Engineering and Electronic Engineering, with a specialization in control systems and automation. After extensive professional experience, he decided to pursue postgraduate studies at a prestigious international institution, where he delved into research areas related to adaptive control and machine learning. He is currently engaged in independent technical publishing, focusing his work on the intersection of artificial intelligence and control theory.
Episode 326
An Interview with César Antonio López Segura
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