​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.

Provides cutting-edge research results of modelling, estimation and control of networked systems with constrainted networks Presents motivated simulation examples to reflect the engineering practice and demonstrate the main focus of the developed control/filtering approaches Covers the issues of constrained resources, including communication rate constraints, signal-to-noise constraints and channel fading

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