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Titlebook: Stochastic Control and Filtering over Constrained Communication Networks; Qinyuan Liu,Zidong Wang,Xiao He Book 2019 The Editor(s) (if appl

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Event-Based , Consensus Control of Multi-agent Systems, their practical application insights in a variety of realms such as satellite formation control, collective behavior of flocking, attitude alignment among spacecraft, distributed estimation, and automated highway systems.
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Event-Based Distributed Filtering of Continuous-Time Nonlinear Systems,h each sensor node is typically small, power-constrained, low-cost, and sometimes unreliable, it can still perform various high-level tasks in a collaborative manner. As a consequence of the rapid development of microprocessors, wireless sensor networks have found a variety of potential applications
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Event-Based Distributed Filtering over Markovian Switching Topologies,, and dynamic wireless environments, and this gives rise to the so-called dynamic topology problem that has drawn considerable research interest in the context of consensus problems for multi-agent systems.
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Event-Based Recursive Distributed Filtering, state vectors of the target plants from observations contaminated with external disturbances. It is generally known that the traditional Kalman filter algorithm is a recursive least mean square (LMS) one dealing with a single node and is optimal for linear systems with exact system models. On the o
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