Advances and Critical Research Issues in Intelligent Modelling, Control and Estimation


Harris, C.J. and Schilhabel, T.E. (1995) Advances and Critical Research Issues in Intelligent Modelling, Control and Estimation. Workshop on the Control of Complex Systems

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Description/Abstract

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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: to be published Organisation: European Science Foundation Address: Rome, Italy
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
ePrint ID: 250168
Date Deposited: 04 May 1999
Last Modified: 27 Mar 2014 19:51
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/250168

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