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FPGA-Based Design of Chaotic Systems with Quadratic Nonlinearities

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Proceedings of Data Analytics and Management (ICDAM 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 788))

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Abstract

This paper presents a systematized methodology to implement chaotic systems with quadratic nonlinearities on digital platform using Runge–Kutta 4 (RK4) numerical method. Field programmable gate arrays (FPGAs), because of their flexibility, reconfigurability, and parallelism, have been used for the implementation using Verilog hardware description language (HDL) and the state machine control. The synthesis results based on Xilinx Artix device 7a200tffv1156-1, and simulation results using inbuilt simulator of Vivado design suite have been presented. The simulation results have been validated by python-based numerical simulations as well. The implemented chaotic systems have been evaluated based on hardware utilization and time delay.

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Authors and Affiliations

  1. Delhi Technological University, Delhi, 110042, India

    Kriti Suneja, Neeta Pandey & Rajeshwari Pandey

Authors
  1. Kriti Suneja
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  2. Neeta Pandey
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  3. Rajeshwari Pandey
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Corresponding author

Correspondence to Kriti Suneja .

Editor information

Editors and Affiliations

  1. Department of Information Technology, Bhagwan Parshuram Institute of Technology, New Delhi, Delhi, India

    Abhishek Swaroop

  2. Jan Wyzykowski University, Polkowice, Poland

    Zdzislaw Polkowski

  3. Polytechnic Institute of Portalegre, Portalegre, Portugal

    SĂ©rgio Duarte Correia

  4. Centre for Communications Technology, London Metropolitan University, London, UK

    Bal Virdee

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Suneja, K., Pandey, N., Pandey, R. (2023). FPGA-Based Design of Chaotic Systems with Quadratic Nonlinearities. In: Swaroop, A., Polkowski, Z., Correia, S.D., Virdee, B. (eds) Proceedings of Data Analytics and Management. ICDAM 2023. Lecture Notes in Networks and Systems, vol 788. Springer, Singapore. https://doi.org/10.1007/978-981-99-6553-3_12

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