03598cam a22006011i 4500 9780429426759 FlBoTFG 20260210180737.0 m o d cr mn||||||||| 181209t20192019flua ob 001 0 eng d OCoLC-P eng rda pn OCoLC-P 9780429761928 (epub) 0429761929 (epub) 9780429761935 (pdf) 0429761937 (pdf) 9780429761911 (mobi) 0429761910 (mobi) 9780429426759 (electronic bk.) 0429426755 (electronic bk.) 9781138386570 (hardback ; alk. paper) 113838657X (hardback ; alk. paper) 10.1201/9780429426759 doi (OCoLC)1083160306 (OCoLC)1084727459 (OCoLC-P)1083160306 QA402 .M287 2019eb SCI 064000 bisacsh TEC 029000 bisacsh TEC 007000 bisacsh MAT 007000 bisacsh THRB bicssc 003.76 23 Ma, Lifeng, author. Nonlinear control and filtering for stochastic networked systems / Lifeng Ma, Zidong Wang, Yuming Bo. Boca Raton : CRC Press, 2019. ©2019 1 online resource (xv, 226 pages) : illustrations (black and white) text txt rdacontent computer c rdamedia online resource cr rdacarrier In this book, control and filtering problems for several classes of stochastic networked systems are discussed. In each chapter, the stability, robustness, reliability, consensus performance, and/or disturbance attenuation levels are investigated within a unified theoretical framework. The aim is to derive the sufficient conditions such that the resulting systems achieve the prescribed design requirements despite all the network-induced phenomena. Further, novel notions such as randomly occurring sensor failures and consensus in probability are discussed. Finally, the theories/techniques developed are applied to emerging research areas. Key Features Unifies existing and emerging concepts concerning stochastic control/filtering and distributed control/filtering with an emphasis on a variety of network-induced complexities Includes concepts like randomly occurring sensor failures and consensus in probability (with respect to time-varying stochastic multi-agent systems) Exploits the recursive linear matrix inequality approach, completing the square method, Hamilton-Jacobi inequality approach, and parameter-dependent matrix inequality approach to handle the emerging mathematical/computational challenges Captures recent advances of theories, techniques, and applications of stochastic control as well as filtering from an engineering-oriented perspective Gives simulation examples in each chapter to reflect the engineering practice. Introduction -- Robust H OCLC-licensed vendor bibliographic record. Stochastic systems. Nonlinear control theory. Filters (Mathematics) SCIENCE System Theory. bisacsh TECHNOLOGY & ENGINEERING Operations Research. bisacsh Wang, Zidong, 1966- author. Bo, Yuming, author. Taylor & Francis https://www.taylorfrancis.com/books/9780429426759 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf 90017 90016