Fault Estimation for Network Systems via Intermediate Estimator

This book proposes an improved adaptive fault estimation observer for network systems, leveraging distributed intermediate estimators for simultaneous fault estimation and consensus performance. Experimental results on networked multi-axis motion control systems verify its effectiveness. It serves as a valuable resource for researchers and practitioners in fault diagnosis and fault-tolerant control.

Format: Hardback
Length: 187 pages
Publication date: 30 October 2022
Publisher: Springer Verlag, Singapore

This book delves into the intricate realm of fault estimation for network systems, presenting a comprehensive approach to enhance the existing adaptive fault estimation observer. To achieve this, a novel intermediate estimator is introduced, designed to accurately identify actuator or sensor faults in dynamic control systems with remarkable speed and convergence. Building upon this foundation, the book explores the potential of network systems, including their characteristics of multi-agent systems and large-scale interconnectedness, to develop distributed intermediate estimators. This innovative methodology enables simultaneous fault estimation across different nodes, ensuring efficient and reliable diagnosis. By leveraging compensation-based protocols, satisfactory consensus performances are achieved, making this approach suitable for various applications. Through a series of experimental results on networked multi-axis motion control systems, the effectiveness and characteristics of the proposed fault estimation methodology are thoroughly verified and discussed. Serving as a valuable resource for researchers and designers in the fields of fault diagnosis and fault-tolerant control, this book is also an essential reference for senior undergraduate and graduate students enrolled in colleges and universities.

Weight: 477g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811963209
Edition number: 1st ed. 2022