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Signal bi-amplification in networks of unidirectionally coupled MEMS

Author

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  • Murielle Vanessa Tchakui

    (Lab. Modelling and Simulation in Engineering, Biomimetics and Prototypes, Faculty of Science, University of Yaounde I)

  • Paul Woafo

    (Lab. Modelling and Simulation in Engineering, Biomimetics and Prototypes, Faculty of Science, University of Yaounde I
    Applied Physics Research Group (APHY), Vrije Universiteit Brussel)

  • Pere Colet

    (IFISC, Instituto de Física Interdisciplinar y Sistemas Complejos (CSIC-UIB), Campus Universitat Illes Balears)

Abstract

The purpose of this paper is to analyze the propagation and the amplification of an input signal in networks of unidirectionally coupled micro-electro-mechanical systems (MEMS). Two types of external excitations are considered: sinusoidal and stochastic signals. We show that sinusoidal signals are amplified up to a saturation level which depends on the transmission rate and despite MEMS being nonlinear the sinusoidal shape is well preserved if the number of MEMS is not too large. However, increasing the number of MEMS, there is an instability that leads to chaotic behavior and which is triggered by the amplification of the harmonics generated by the nonlinearities. We also show that for stochastic input signals, the MEMS array acts as a band-pass filter and after just a few elements the signal has a narrow power spectra.

Suggested Citation

  • Murielle Vanessa Tchakui & Paul Woafo & Pere Colet, 2016. "Signal bi-amplification in networks of unidirectionally coupled MEMS," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(1), pages 1-9, January.
    • Handle: RePEc:spr:eurphb:v:89:y:2016:i:1:d:10.1140_epjb_e2015-60870-1
    DOI: 10.1140/epjb/e2015-60870-1
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    Cited by:

    1. Wu, Yan & Wu, Liqing & Zhu, Yuan & Yi, Ming & Lu, Lulu, 2024. "Enhancing weak signal propagation by intra- and inter-layer global couplings in a feedforward network," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).

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    Keywords

    Statistical and Nonlinear Physics;

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