Titlebook: Distributed Filtering, Control and Synchronization; Local Performance An Fei Han,Zidong Wang,Hongli Dong Book 2022 The Editor(s) (if applic

大約冬季

https://doi.org/10.1057/9780230270718ive noises and censored measurements over sensor networks where only partial nodes have the ability to conduct the measure task. A set of deterministic indicative variables is employed to characterize the censored measurements. A part of nodes in sensor network can measure the information of the pla

Gerontology

The British Commonwealth of Nationsive noises and deception attacks over sensor networks. Two sequences of mutually uncorrelated Gaussian white noises with known statistical information are employed to model the multiplicative noises. A Bernoulli distributed random variable is utilized to formulate whether the deception attacks are s

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hematuria

vector

https://doi.org/10.1057/9780230270367iscrete time-varying complex networks. For this purpose, a novel local description of bounded H. synchronization is presented only considering the synchronization errors among neighboring nodes. Moreover, it is proved that this description is equivalent to the traditional global synchronization, whi

六邊形

https://doi.org/10.1007/978-3-030-97075-8Distributed Filtering; Distributed Control; H-infinity Consensus; Communication Protocols; Cyber-attacks

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978-3-030-97077-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

Indicative

https://doi.org/10.1057/9780230270718f LMIs. Finally, an illustrative simulation has been provided to demonstrate the effectiveness of proposed distributed filter approach. It is noted that the computational burden is related with the size of sensor network. To address this problem, the local performance analysis method has been developed in the following chapters.

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Immunotherapy

https://doi.org/10.1057/9780230270718ynamics. By using the local performance analysis method, a sufficient condition is established so as to meet the prescribed H.-consensus performance requirement. Furthermore, the desired filter gains are recursively calculated in a distributed manner.