Fault Estimation for Network Systems via Intermediate Estimator
This book is concerned with the fault estimation problem for network systems. Firstly, to improve the existing adaptive fault estimation observer, a novel so-called intermediate estimator is proposed to identify the actuator or sensor faults in dynamic control systems with high accuracy and convergence speed. On this basis, by exploiting the properties of network systems such as multi-agent systems and large-scale interconnected systems, this book introduces the concept of distributed intermediate estimator; faults in different nodes can be estimated simultaneously; meanwhile, satisfactory consensus performances can be obtained via compensation based protocols. Finally, the characteristics of the new fault estimation methodology are verified and discussed by a series of experimental results on networked multi-axis motion control systems. This book can be used as a reference book for researcher and designer in the field of fault diagnosis and fault-tolerant control and can also be usedas a reference book for senior undergraduate and graduate students in colleges and universities.
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Yang, Guang-Hong; Xin Wang; Zhu, Jun-Wei
Dr. Jun-wei Zhu received the Ph.D. degree in Control theory and Engineering from Northeastern University, Shenyang, in Jul. 2016. His research is mainly focused on Fault Diagnosis, Fault-Tolerant control, and Control of Network Systems. Especially, his major research results are mostly about the fault estimation observer design and the observer-based fault-tolerant control. During the doctorate study period, he has participated in many academic conferences, such as WCICA, CCC, CCDC. Besides, he was also a reviewer for some well-known scientific magazines in the field of control science, for instance, IEEE Transactions on Automatic Control, Automatica, International Journal of Robust and Nonlinear Control, etc.
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