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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Shen, Bo (Autor), Wang, Zidong (Autor), Shu, Huisheng (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.