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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 At Workshop on the Control of Complex Systems.

Record type: Conference or Workshop Item (Other)


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.

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Published date: September 1995
Additional Information: to be published Organisation: European Science Foundation Address: Rome, Italy
Venue - Dates: Workshop on the Control of Complex Systems, 1995-09-01
Organisations: Southampton Wireless Group


Local EPrints ID: 250168
PURE UUID: 1af49cea-6c41-4465-8e35-98f64ce2cf7b

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Date deposited: 04 May 1999
Last modified: 18 Jul 2017 10:43

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Author: C.J. Harris
Author: T.E. Schilhabel

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