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

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2198-4182 eflect engineering practice and exemplify the book’s theoret.This book establishes a unified framework for dealing with typical engineering complications arising in modern, complex, large-scale networks such as parameter uncertainties, missing measurement and cyber-attack. .Distributed Filtering, Co

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Introduction, the filtering and synchronization problems in complex networks is introduced. The systems, measurements, protocols and cyber-attacks under consideration mainly include random parameter systems, time-delays, stochastic nonlinearities, imperfect measurements, scheduling protocols, distributed resilie

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,Distributed , Filtering for Discrete-Time Piecewise Linear Systems,all, the modes of the system and the filter of each node are described by the available information, respectively. Next, two vectors of mode are defined for the globally augmented plant and filter. Then, the performance index is presented for the augmented filtering error system. Next, by means of L

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,Distributed Filtering for Random Parameter System with Event-Triggering Protocols, systems with the event-triggering protocol and random parameters. An information matrix is proposed to formulate the statistical property of a random matrix, Next, this matrix is employed to calculate the weighted-covariance matrix by means of the Kronecker product and the Hadamard product. A novel

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Scalable Consensus Filtering for Uncertain Systems with Round-Robin Protocol,orm-bounded uncertainties and sensor saturations with the RRP over sensor networks. Typical norm-bounded uncertainties have been considered to enter into the network in a random manner. Sensor saturations are involved to reflect the limited measure capacity of nodes. In order to reduce the usage of

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Distributed ,-Consensus Filtering over Sensor Networks Under Deception Attacks,ive 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