Recursive Filtering for 2 D Shift Varying Systems With Communication Constraint

It presents research developments and novel methodologies for recursive filtering for 2-D shift-varying systems with communication constraints. It investigates recursive filter/estimator design and performance analysis explaining dynamics of the system, subtle design of filter gains, effects of the communication constraints on performance.

Über den Autor / die Autorin

Jinling Liang, Zidong Wang, Fan Wang

Zusammenfassung

It presents research developments and novel methodologies for recursive filtering for 2-D shift-varying systems with communication constraints. It investigates recursive filter/estimator design and performance analysis explaining dynamics of the system, subtle design of filter gains, effects of the communication constraints on performance.

Produktdetails

• Autoren: Wang Zidong, Jinling (School of Mathematics Liang, Jinling Liang, Wang Fan, Fan Wang, Zidong Wang
• Verlag: Taylor & Francis Ltd.
• Inhalt: Buch
• Produktform: Taschenbuch
• Erscheinungsdatum: 09.10.2024
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Datenkommunikation, Netzwerke; Sozialwissenschaften, Recht,Wirtschaft > Medien, Kommunikation > Kommunikationswissenschaft
• EAN: 9781032038223
• ISBN: 978-1-0-3203822-3
• Anzahl Seiten: 222
• Themen: COMPUTERS / Networking / General, TECHNOLOGY & ENGINEERING / Electrical, COMPUTERS / Cybernetics, Electrical Engineering, Cybernetics & systems theory, Computer networking & communications, Cybernetics and systems theory, Computer networking and communications, sensor network, communication protocols, Asymptotic Stability, Kalman Filtering, control theory applications, packet dropouts, Sensor Node, distributed sensor networks, variance-constrained estimation, repetitive process modeling, resilient state estimation techniques, stochastic system analysis, Riccati equation methods, Distributed Filtering Problem, filtering problem, Quadratic Filter, Filtering Error, Roesser Model, Filtering Error Variance, Gain Perturbation, Estimation Error Variance, Sensor Delays, Markovian Jump Systems, Dissipative Filtering, Linear Repetitive Processes, Missing measurements, recursive filtering, Redundant Channels, Robust Filtering Problem, RA Protocol, Stochastic Nonlinearity