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On adaptive parameters identification of Hindmarsh–Rose neuron models

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  • Kovalchukov, Aleksandr
  • Fradkov, Alexander

Abstract

This publication is devoted to the exploration of the Hindmarsh–Rose model, a biological neuron model that provides a good balance between complexity and variability. We focus on the model parameter identification problem, which is a critical aspect of control system theory. The complexity of the problem arises from the presence of numerous nonlinear functions and a large number of unknown parameters. The following sub-issues are covered in this work.

Suggested Citation

  • Kovalchukov, Aleksandr & Fradkov, Alexander, 2025. "On adaptive parameters identification of Hindmarsh–Rose neuron models," Chaos, Solitons & Fractals, Elsevier, vol. 200(P1).
    • Handle: RePEc:eee:chsofr:v:200:y:2025:i:p1:s0960077925008288
    DOI: 10.1016/j.chaos.2025.116815
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