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Stochastic Control and Filtering over Constrained Communication Networks (Studies in Systems, Decision and Control, 178) by Qinyuan Liu; Zidong Wang; Xiao He; SpringerLink (Online service) is a nonfiction available to read on EtoBox.
What is Stochastic Control and Filtering over Constrained Communication Networks (Studies in Systems, Decision and Control, 178) about?
______Stochastic 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.
Who reads Stochastic Control and Filtering over Constrained Communication Networks (Studies in Systems, Decision and Control, 178)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Qinyuan Liu; Zidong Wang; Xiao He; SpringerLink (Online service)
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2019
- Language
- EN
- ISBN
- 9783030001568
- Category
- nonfiction
- Subjects
- Computer Science, Engineering, Mathematics
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