Nonlinear control and filtering for stochastic networked systems /
Ma, Lifeng,
Nonlinear control and filtering for stochastic networked systems / Lifeng Ma, Zidong Wang, Yuming Bo. - 1 online resource (xv, 226 pages) : illustrations (black and white)
Introduction -- Robust H
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.
9780429761928 0429761929 9780429761935 0429761937 9780429761911 0429761910 9780429426759 0429426755
10.1201/9780429426759 doi
Stochastic systems.
Nonlinear control theory.
Filters (Mathematics)
SCIENCE--System Theory.
TECHNOLOGY & ENGINEERING--Operations Research.
QA402 / .M287 2019eb
003.76
Nonlinear control and filtering for stochastic networked systems / Lifeng Ma, Zidong Wang, Yuming Bo. - 1 online resource (xv, 226 pages) : illustrations (black and white)
Introduction -- Robust H
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.
9780429761928 0429761929 9780429761935 0429761937 9780429761911 0429761910 9780429426759 0429426755
10.1201/9780429426759 doi
Stochastic systems.
Nonlinear control theory.
Filters (Mathematics)
SCIENCE--System Theory.
TECHNOLOGY & ENGINEERING--Operations Research.
QA402 / .M287 2019eb
003.76