Harris, C.J., Wu, Z.Q., Bossley, K.M. and Brown, M.
Intelligent Neurofuzzy Estimators and Multisensor Data Fusion
Tzafestas, S.G. (eds.)
Methods and Applications of Intelligent Control.
Full text not available from this repository.
Multi-Sensor Data Fusion (MSDF), or the process of fusing data from a variety of disparate data sources about a single entity, feature or system state, is of prime importance in the monitoring and control of complex systems. This paper addresses the basic subproblems of MSDF within a unified informational framework derived via Neurofuzzy modelling and estimation algorithms. This environment provides a common framework for integrating information which is database, sensor based, experiemental based and mechanistic. The paper introduces parsimonious neurofuzzy modelling algorithms and utilises them in generating local state estimators which are optimal in information processing. A MSDF system utilises these algorithms in a distributed decentralised architecture.
||(no figures in on-line version) Chapter: 10 Address: Netherlands
|Venue - Dates:
||Methods and Applications of Intelligent Control, 1997-01-01
||Electronics & Computer Science, IT Innovation, Southampton Wireless Group
||21 Mar 2003
||18 Apr 2017 00:24
|Further Information:||Google Scholar|
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