Iterative Learning Control for Network Systems Under Constrained Information Communication

£119.50

Iterative Learning Control for Network Systems Under Constrained Information Communication

Cybernetics and systems theory Automatic control engineering Computer networking and communications Artificial intelligence

Authors: Wenjun Xiong, Zijian Luo, Daniel W. C. Ho

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Collection: Intelligent Control and Learning Systems

Language: English

Published by: Springer

Published on: 26th March 2024

Format: LCP-protected ePub

ISBN: 9789819709267


Subject Area and Focus

This book focuses on the subject area of Network Systems and Control Theory, providing a comprehensive examination of the dynamic behavior of networked systems operating under communication constraints. It introduces innovative iterative learning control strategies that aim to ensure stability, consistency, and security of networked systems. The field of networked systems has garnered significant interest from scientists and engineers across various disciplines, including information, electrical, transportation, life, social, and management sciences. This book consistently addresses a wide range of issues related to networked systems, emphasizing the critical impact of communication constraints on stability and security. It highlights the effectiveness and importance of iterative learning methods in tackling these challenges.

Intended Audience

Suitable for both undergraduate and graduate students interested in networked systems and iterative learning control, this book also serves as a valuable resource for university faculty and engineers engaged in complex systems, control theory research, and real-world applications. Its broad appeal extends to professionals working in related fields, seeking a deeper understanding of networked systems and their control mechanisms.

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