LEADER 04102nam  22005535  450 
001 9910484716903321
005 20200704172839.0
010   $a3-030-00157-1
024 7 $a10.1007/978-3-030-00157-5
035   $a(CKB)4100000007111031
035   $a(MiAaPQ)EBC5568440
035   $a(DE-He213)978-3-030-00157-5
035   $a(PPN)243770766
035   $a(EXLCZ)994100000007111031
100   $a20181024d2019      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aStochastic Control and Filtering over Constrained Communication Networks$b[electronic resource] /$fby Qinyuan Liu, Zidong Wang, Xiao He
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (233 pages)
225 1 $aStudies in Systems, Decision and Control,$x2198-4182 ;$v178
311   $a3-030-00156-3 
327   $aIntroduction -- 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.
330   $aStochastic Control and Filtering over Constrained Communication Networks presents up-to-date research developments and novel methodologies on stochastic control and filtering for networked systems under constrained communication networks. It provides a framework of optimal controller/filter design, resilient filter design, stability and performance analysis for the systems considered, subject to various kinds of communication constraints, including signal-to-noise constraints, bandwidth constraints, and packet drops. Several techniques are employed to develop the controllers and filters desired, including: recursive Riccati equations; matrix decomposition; optimal estimation theory; and mathematical optimization methods. Readers will benefit from the book?s new concepts, models and methodologies that have practical significance in control engineering and signal processing. Stochastic Control and Filtering over Constrained Communication Networks is a practical research reference for engineers dealing with networked control and filtering problems. It is also of interest to academics and students working in control and communication networks.
410  0$aStudies in Systems, Decision and Control,$x2198-4182 ;$v178
606   $aControl engineering
606   $aElectrical engineering
606   $aComputer communication systems
606   $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010
606   $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035
606   $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022
615  0$aControl engineering.
615  0$aElectrical engineering.
615  0$aComputer communication systems.
615 14$aControl and Systems Theory.
615 24$aCommunications Engineering, Networks.
615 24$aComputer Communication Networks.
676   $a629.8312
700   $aLiu$b Qinyuan$4aut$4http://id.loc.gov/vocabulary/relators/aut$01228479
702   $aWang$b Zidong$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aHe$b Xiao$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910484716903321
996   $aStochastic Control and Filtering over Constrained Communication Networks$92851942
997   $aUNINA