Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information
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Form:Einzelkauf Download
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Sprache:Englisch
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eBook Format:ePUB
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Produktdetails
Format
ePUB
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
13.06.2013
Verlag
John Wiley & Sons IncSeitenzahl
288 (Printausgabe)
Dateigröße
10754 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9781118650974
In the context of systems and control, incomplete information
refers to a dynamical system in which knowledge about the system
states is limited due to the difficulties in modelling complexity
in a quantitative way. The well-known types of incomplete
information include parameter uncertainties and norm-bounded
nonlinearities. Recently, in response to the development of network
technologies, the phenomenon of randomly occurring incomplete
information has become more and more prevalent.
Filtering, Control and Fault Detection with Randomly
Occurring Incomplete Information reflects the state-of-the-art
of the research area for handling randomly occurring incomplete
information from three interrelated aspects of control, filtering
and fault detection. Recent advances in networked control systems
and distributed filtering over sensor networks are covered, and
application potential in mobile robotics is also considered. The
reader will benefit from the introduction of new concepts, new
models and new methodologies with practical significance in control
engineering and signal processing.
Key Features:
* Establishes a unified framework for filtering, control and
fault detection problem for various discrete-time nonlinear
stochastic systems with randomly occurring incomplete
information
* Investigates several new concepts for randomly occurring
phenomena and proposes a new system model to better describe
network-induced problems
* Demonstrates how newly developed techniques can handle emerging
mathematical and computational challenges
* Contains the latest research results
Filtering, Control and Fault Detection with Randomly
Occurring Incomplete Information provides a unified yet neat
framework for control/filtering/fault-detection with randomly
occurring incomplete information. It is a comprehensive
textbook for graduate students and is also a useful practical
research reference for engineers dealing with control, filtering
and fault detection problems for networked systems.
refers to a dynamical system in which knowledge about the system
states is limited due to the difficulties in modelling complexity
in a quantitative way. The well-known types of incomplete
information include parameter uncertainties and norm-bounded
nonlinearities. Recently, in response to the development of network
technologies, the phenomenon of randomly occurring incomplete
information has become more and more prevalent.
Filtering, Control and Fault Detection with Randomly
Occurring Incomplete Information reflects the state-of-the-art
of the research area for handling randomly occurring incomplete
information from three interrelated aspects of control, filtering
and fault detection. Recent advances in networked control systems
and distributed filtering over sensor networks are covered, and
application potential in mobile robotics is also considered. The
reader will benefit from the introduction of new concepts, new
models and new methodologies with practical significance in control
engineering and signal processing.
Key Features:
* Establishes a unified framework for filtering, control and
fault detection problem for various discrete-time nonlinear
stochastic systems with randomly occurring incomplete
information
* Investigates several new concepts for randomly occurring
phenomena and proposes a new system model to better describe
network-induced problems
* Demonstrates how newly developed techniques can handle emerging
mathematical and computational challenges
* Contains the latest research results
Filtering, Control and Fault Detection with Randomly
Occurring Incomplete Information provides a unified yet neat
framework for control/filtering/fault-detection with randomly
occurring incomplete information. It is a comprehensive
textbook for graduate students and is also a useful practical
research reference for engineers dealing with control, filtering
and fault detection problems for networked systems.
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