TY  - BOOK
AU  - Ma,Lifeng
AU  - Wang,Zidong
AU  - Bo,Yuming
TI  - Nonlinear control and filtering for stochastic networked systems
SN  - 9780429761928
AV  - QA402 .M287 2019eb
U1  - 003.76 23
PY  - 2019///
CY  - Boca Raton
PB  - CRC Press
KW  - Stochastic systems
KW  - Nonlinear control theory
KW  - Filters (Mathematics)
KW  - SCIENCE
KW  - System Theory
KW  - bisacsh
KW  - TECHNOLOGY & ENGINEERING
KW  - Operations Research
N1  - Introduction -- Robust H
N2  - 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
UR  - https://www.taylorfrancis.com/books/9780429426759
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -