Title
Non-integer order integration by using neural networks
Abstract
In this paper a new method for non-integer order integration is presented. It is based on a Multi-layer Perceptron modelization that allows an easy circuit design and a wide range of integration order. The neural network approach allows one to overcome some problems related to practical implementation of the circuit. An example of application regarding the control of a chaotic system is also reported in order to validate the proposed neural network modeling technique
Year
DOI
Venue
2001
10.1109/ISCAS.2001.921404
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium
Keywords
Field
DocType
Chua's circuit,chaos,integrating circuits,neural nets,nonlinear systems,transfer functions,chaotic system,integration order,multi-layer perceptron modelization,neural network modeling technique,noninteger order integration
Chua's circuit,Computer science,Circuit design,Electronic engineering,Control engineering,Bandwidth (signal processing),Transfer function,Chaotic,Artificial neural network,Perceptron,Approximation error
Conference
Volume
ISBN
Citations 
3
0-7803-6685-9
9
PageRank 
References 
Authors
7.11
1
4
Name
Order
Citations
PageRank
Abbisso, S.197.11
Caponetto, R.297.11
Diamante, O.3178.31
Fortuna, L.4127.61