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...

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Bibliographic Details
Main Authors: Shen, Bo, Wang, Zidong (Author), Shu, Huisheng (Author)
Format: eBook
Published: London Springer London 2013, 2013
Edition:1st ed. 2013
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • From the Contents: Quantized H-infinity Control for Nonlinear Stochastic Time-delay Systems with Missing Measurements
  • Nonlinear H-infinity Filtering for Discrete-Time Stochastic Systems with Missing Measurements and Randomly Varying Sensor Delays
  • Robust H-infinity Filtering with Randomly Occurring Nonlinearities, Quantization Effects and Successive Packet Dropouts
  • H-infinity Filtering with Randomly Occurring Sensor Saturations and Missing Measurements
  • Distributed H-infinity Consensus Filtering in Sensor Networks with Multiple Missing Measurements: The Finite-Horizon Case