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. | 1 | 9 | 7.11 |
Caponetto, R. | 2 | 9 | 7.11 |
Diamante, O. | 3 | 17 | 8.31 |
Fortuna, L. | 4 | 12 | 7.61 |