04097nam 22005655 450 991048471690332120200704172839.03-030-00157-110.1007/978-3-030-00157-5(CKB)4100000007111031(MiAaPQ)EBC5568440(DE-He213)978-3-030-00157-5(PPN)243770766(EXLCZ)99410000000711103120181024d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierStochastic Control and Filtering over Constrained Communication Networks /by Qinyuan Liu, Zidong Wang, Xiao He1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (233 pages)Studies in Systems, Decision and Control,2198-4182 ;1783-030-00156-3 Introduction -- Fundamental Limitations of Networked Systems over Fading Channels -- Event-based H∞ Consensus Control of Multi-agent Systems -- Event-Triggered Resilient Filtering with Measurement Quantization -- Event-based Distributed Filtering of Continuous-time Nonlinear Systems -- Event-based Distributed Filtering over Markovian Switching Topologies -- Event-based Recursive Distributed Filtering -- A Resilient Approach to Distributed Recursive Filter Design -- Consensus-based Recursive Distributed Filtering -- On Kalman-Consensus Filtering with Random Link Failures -- Moving-Horizon Estimation with Binary Encoding Schemes -- Conclusion and Further Work.Stochastic Control and Filtering over Constrained Communication Networks presents up-to-date research developments and novel methodologies on stochastic control and filtering for networked systems under constrained communication networks. It provides a framework of optimal controller/filter design, resilient filter design, stability and performance analysis for the systems considered, subject to various kinds of communication constraints, including signal-to-noise constraints, bandwidth constraints, and packet drops. Several techniques are employed to develop the controllers and filters desired, including: recursive Riccati equations; matrix decomposition; optimal estimation theory; and mathematical optimization methods. Readers will benefit from the book’s new concepts, models and methodologies that have practical significance in control engineering and signal processing. Stochastic Control and Filtering over Constrained Communication Networks is a practical research reference for engineers dealing with networked control and filtering problems. It is also of interest to academics and students working in control and communication networks.Studies in Systems, Decision and Control,2198-4182 ;178Control engineeringElectrical engineeringComputer communication systemsControl and Systems Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/T19010Communications Engineering, Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/T24035Computer Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13022Control engineering.Electrical engineering.Computer communication systems.Control and Systems Theory.Communications Engineering, Networks.Computer Communication Networks.629.8312004.6Liu Qinyuanauthttp://id.loc.gov/vocabulary/relators/aut1228479Wang Zidongauthttp://id.loc.gov/vocabulary/relators/autHe Xiaoauthttp://id.loc.gov/vocabulary/relators/autBOOK9910484716903321Stochastic Control and Filtering over Constrained Communication Networks2851942UNINA