Nonlinear stochastic systems with incomplete information filtering and control /

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 f...

Full description

Saved in:
Bibliographic Details
Main Authors: Shen, Bo.
Corporate Authors: SpringerLink (Online service)
Group Author: Wang, Zidong.; Shu, Huisheng.
Published:
Literature type: Electronic eBook
Language: English
Subjects:
Online Access: http://dx.doi.org/10.1007/978-1-4471-4914-9
Summary: 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 H8 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.
Carrier Form: 1 online resource (xvi, 248 p.) : ill. (some col.)
Bibliography: Includes bibliographical references and index.
ISBN: 9781447149149 (electronic bk.)
1447149149 (electronic bk.)
Index Number: QA402
CLC: O231.2
Contents: Introduction --
Quantized Hinfty Control for Time-Delay Systems with Missing Measurements --
Hinfty Filtering with Missing Measurements and Randomly Varying Sensor Delays --
Filtering with Randomly Occurring Nonlinearities, Quantization, and Packet Dropouts --
Hinfty Filtering with Randomly Occurring Sensor Saturations and Missing Measurements --
Distributed Hinfty-Consensus Filtering in Sensor Networks --
Distributed Hinfty Filtering for Polynomial Systems in Sensor Networks --
Sampled-Data Approach to Distributed Hinfty Filtering in Sensor Networks --
Sampled-Data Synchronization Control and State Estimation for Complex Networks --
Bounded Hinfty Synchronization and State Estimation for Complex Networks --
Conclusions and future work.