Nonlinear Stochastic Systems with Incomplete Information Filtering and Control /

• Main Authors: Shen, Bo. (Author), Wang, Zidong. (Author), Shu, Huisheng. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: London : Springer London : Imprint: Springer, 2013.
• Subjects: Engineering.; Systems theory.; Distribution (Probability theory).; Telecommunication.; Control.; Probability Theory and Stochastic Processes.; Communications Engineering, Networks.; Signal, Image and Speech Processing.; Systems Theory, Control.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4471-4914-9

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...

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.