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...
Clasificación: | Libro Electrónico |
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Autores principales: | , , |
Autor Corporativo: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
London :
Springer London : Imprint: Springer,
2013.
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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.