Harris, C.J. and Schilhabel, T.E.
Advances and Critical Research Issues in Intelligent Modelling, Control and Estimation
At Workshop on the Control of Complex Systems.
Full text not available from this repository.
This paper reviews the architecture, representation capability, training and learning ability of a class of adaptive neurofuzzy systems for real time modelling and control of unknown nonlinear dynamical processes. Issues relating to learning stability and training laws and parametric convergence, network conditioning, the curse of dimensionality associated with associative memory networks, automatic network construction algorithms, neurofuzzy stability theory, and a series of neurofuzzy control design laws, are discussed together with future critical research issues associated with neurofuzzy systems and their applicability to safety critical control processes.
Conference or Workshop Item
||to be published Organisation: European Science Foundation Address: Rome, Italy
|Venue - Dates:
||Workshop on the Control of Complex Systems, 1995-09-01
||Southampton Wireless Group
||04 May 1999
||18 Apr 2017 00:23
|Further Information:||Google Scholar|
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