Aspects of fuzzy control and estimation
Moore, C.G. and Harris, C.J. (1994) Aspects of fuzzy control and estimation. Advances in Intelligent Control Taylor and Francis, 201--242.
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This paper gives an overview of Fuzzy Systems for application to fuzzy modelling, analysis, control and estimation. This first section describes the major concepts together with future research objectives without requiring any a priori knowledge on the part of the reader. Further sections introduce the mathematical notation required to describe fuzzy systems and review existing application and research areas. The subject of performance analysis tools for fuzzy systems is highlighted as a current research area and an example of a simple analysis tool is given. The topic of signal estimation using fuzzy models is also discussed and a target tracking example is included. Comparisons are also drawn between fuzzy systems and single layer associative memroy neural networks that offer some transparency for dynamical processes modelled as neural networks.
|Item Type:||Conference or Workshop Item (UNSPECIFIED)|
|Additional Information:||Address: London, UK|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
|Date Deposited:||04 May 1999|
|Last Modified:||27 Mar 2014 19:51|
|Publisher:||Taylor and Francis|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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