Fei Han,Zidong Wang,Hongli Dong
Distributed Filtering, Control and Synchronization: Local Performance Analysis Methods
Distributed Filtering, Control and Synchronization: Local Performance Analysis Methods
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This book provides a unified framework for dealing with engineering complications in modern, complex, large-scale networks, such as parameter uncertainties, missing measurement, and cyber-attacks. It explores techniques such as recursive linear matrix inequalities, local-performance and stochastic analyses, and matrix theory to address these challenges. It is useful for academic researchers, graduate and advanced undergraduate students, and practicing engineers.
Format: Paperback / softback
Length: 223 pages
Publication date: 26 March 2023
Publisher: Springer Nature Switzerland AG
This comprehensive book offers a unified framework for addressing the diverse engineering challenges that arise in modern, complex, and large-scale networks, including parameter uncertainties, missing measurement, and cyber-attacks. In the realm of industrial engineering, Distributed Filtering, Control, and Synchronization emerges as a timely exploration of innovative methods tailored to tackle a range of control and signal-processing issues. By leveraging cutting-edge techniques, this book adeptly navigates the emerging mathematical and computational complexities associated with distributed systems, sensor networks, and multi-agent systems. These techniques encompass recursive linear matrix inequalities, local-performance and stochastic analyses, and matrix theory-based approaches. Whether you are an academic researcher seeking to expand your horizons, a graduate or advanced undergraduate student seeking to stay abreast of the latest advancements, or a practicing engineer seeking practical solutions to complex networked systems, this book provides invaluable insights and methodologies. Its comprehensive coverage and detailed explanations make it an essential resource for anyone interested in the theory and application of control and signal processing.
Weight: 373g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030970772
Edition number: 1st ed. 2022
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