Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information
Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information
In the context of systems and control, incomplete informationrefers to a dynamical system in which knowledge about the systemstates is limited due to the difficulties in modelling complexityin a quantitative way. The well-known types of incompleteinformation include parameter uncertainties and norm-boundednonlinearities. Recently, in response to the development of networktechnologies, the phenomenon of randomly occurring incompleteinformation has become more and more prevalent.
Filtering, Control and Fault Detection with RandomlyOccurring Incomplete Information reflects the state-of-the-artof the research area for handling randomly occurring incompleteinformation from three interrelated aspects of control, filteringand fault detection. Recent advances in networked control systemsand distributed filtering over sensor networks are covered, andapplication potential in mobile robotics is also considered. Thereader will benefit from the introduction of new concepts, newmodels and new methodologies with practical significance in controlengineering and signal processing. Key Features: * Establishes a unified framework for filtering, control andfault detection problem for various discrete-time nonlinearstochastic systems with randomly occurring incompleteinformation * Investigates several new concepts for randomly occurringphenomena and proposes a new system model to better describenetwork-induced problems * Demonstrates how newly developed techniques can handle emergingmathematical and computational challenges * Contains the latest research results
Ebook format: PDF
Ebook page: 270
File size: 3.82 MB
$25.00
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