Neural Networks and Adaptive Control
Neural Networks and Adaptive Control
AN ONLINE MACHINE LEARNING PERSPECTIVE
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.
About the Author
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