Title :
Modelling of third-order elementary canonical state models using cellular neural networks
Author_Institution :
Dept. of Microelectron., Tech. Univ. of Brno, Czech Republic
Abstract :
The new third-order piecewise-linear systems-elementary canonical systems-that belongs to the C-class can be modelled by cellular neural networks. There is introduced the extended circuit of a cellular neural cell that fits in designing of the elementary canonical systems.
Keywords :
"Cellular neural networks","Circuits","Equations","Piecewise linear techniques","Chaos","Oscillators","Eigenvalues and eigenfunctions","Polynomials","Microelectronics","Electronic mail"
Conference_Titel :
Electronics, Circuits, and Systems, 1996. ICECS ´96., Proceedings of the Third IEEE International Conference on
Print_ISBN :
0-7803-3650-X
DOI :
10.1109/ICECS.1996.582809
