Nonlinear stochastic systems with incomplete information
General Material Designation
[Book]
Other Title Information
:filtering and control
First Statement of Responsibility
/ Bo Shen, Zidong Wang, Huisheng Shu
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
London ;New York
Name of Publisher, Distributor, etc.
: Springer,
Date of Publication, Distribution, etc.
, c2013.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xvi, 248 p. , ill. (some col.) , 24 cm.
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Electronic
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references (p. 237-244) and index.
CONTENTS NOTE
Text of Note
Nonlinear stochastic processes addresses the frequently-encountered problem of incomplete information. The causes of this problem considered here include: missing measurements; sensor delays and saturation; quantization effects; and signal sampling. Divided into three parts, the text begins with a focus on H[infinity] filtering and control problems associated with general classes of nonlinear stochastic discrete-time systems. Filtering problems are considered in the second part, and in the third the theory and techniques previously developed are applied to the solution of issues arising in complex networks with the design of sampled-data-based controllers and filters -- P.4 of cover.
Text of Note
Introduction -- Quantized H[infinity] control for time-delay systems with missing measurements -- H[infinity] filtering with missing measurements and randomly varying sensor delays -- Filtering with randomly occurring nonlinearities, quantization, and packet dropouts -- H[infinity] filtering with randomly occurring sensor saturations and missing measurements -- Distributed H[infinity]-consensus filtering in sensor networks -- Distributed H[infinity] filtering for polynomial systems in sensor networks -- Sampled-data approach to distributed H[infinity] filtering in sensor networks -- Sampled-data synchronization control and state estimation for complex networks -- Bounded H[infinity] synchronization and state estimation for complex networks -- Conclusions and future work.