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Iterative Learning Control For Network Systems Under Constrained Information Communication eBook

by Daniel W. C. Ho, Zijian Luo e Wenjun Xiong
language: english
Publisher: Springer Nature Singapore, March of 2024 ‧
158,34€
142,51€
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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.

Suitable for both undergraduate and graduate students interested in networked systems and iterative learning control, this book alsoserves 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.

Iterative Learning Control For Network Systems Under Constrained Information Communication

by Daniel W. C. Ho, Zijian Luo e Wenjun Xiong

Property Description
ISBN: 9789819709267
Publisher: Springer Nature Singapore
Release Date: March of 2024
Language: English
Format: eBook
File Format and Compatibility:
Collection: Intelligent Control And Learning Systems
Categories: eBooks in English > Computing > Operating Systems and Networks
EAN: 9789819709267
Acessibilidade: Ver características de acessibilidade indicadas pelo editor