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- Title
Strange non-chaotic attractors in a state controlled-cellular neural network-based quasiperiodically forced MLC circuit.
- Authors
Ezhilarasu, P Megavarna; Thamilmaran, K; Inbavalli, M; Murali, K
- Abstract
In this paper, we report the dynamical transitions to strange non-chaotic attractors in a quasiperiodically forced state controlled-cellular neural network (SC-CNN)-based MLC circuit via two different mechanisms, namely the Heagy-Hammel route and the gradual fractalisation route. These transitions were observed through numerical simulations and hardware experiments and confirmed using statistical tools, such as maximal Lyapunov exponent spectrum and its variance and singular continuous spectral analysis. We find that there is a remarkable agreement of the results from both numerical simulations as well as from hardware experiments.
- Subjects
ATTRACTORS (Mathematics); ARTIFICIAL neural networks; FRACTALS; COMPUTER simulation; LYAPUNOV exponents
- Publication
Pramana: Journal of Physics, 2018, Vol 91, Issue 1, p1
- ISSN
0304-4289
- Publication type
Article
- DOI
10.1007/s12043-018-1575-4