Qualitative models and experimental investigation of chaotic NOR gates and set/reset flip-flops
Document Type
Article
Publication Date
1-1-2018
Abstract
It has been observed through experiments and SPICE simulations that logical circuits based upon Chua’s circuit exhibit complex dynamical behaviour. This behaviour can be used to design analogues of more complex logic families and some properties can be exploited for electronics applications. Some of these circuits have been modelled as systems of ordinary differential equations. However, as the number of components in newer circuits increases so does the complexity. This renders continuous dynamical systems models impractical and necessitates new modelling techniques. In recent years, some discrete dynamical models have been developed using various simplifying assumptions. To create a robust modelling framework for chaotic logical circuits, we developed both deterministic and stochastic discrete dynamical models, which exploit the natural recurrence behaviour, for two chaotic NOR gates and a chaotic set/reset flip-flop. This work presents a complete applied mathematical investigation of logical circuits. Experiments on our own designs of the above circuits are modelled and the models are rigorously analysed and simulated showing surprisingly close qualitative agreement with the experiments. Furthermore, the models are designed to accommodate dynamics of similarly designed circuits. This will allow researchers to develop ever more complex chaotic logical circuits with a simple modelling framework.
Identifier
85048046168 (Scopus)
Publication Title
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
External Full Text Location
https://doi.org/10.1098/rspa.2017.0111
e-ISSN
14712946
ISSN
13645021
Issue
2209
Volume
474
Recommended Citation
Rahman, Aminur; Jordan, Ian; and Blackmore, Denis, "Qualitative models and experimental investigation of chaotic NOR gates and set/reset flip-flops" (2018). Faculty Publications. 9070.
https://digitalcommons.njit.edu/fac_pubs/9070
