Hardware realisation of nonlinear dynamical systems for and from biology

TL;DR

This thesis develops novel hardware implementations of nonlinear dynamical systems for biological applications, addressing limitations of software simulations in large-scale and real-time bioengineering contexts.

Contribution

It introduces hardware techniques for simulating biological and bio-inspired dynamical systems, enabling efficient, real-time, low-power applications.

Findings

Hardware implementations validated against software simulations

Improved scalability for large-scale dynamical system simulations

Potential for real-time biological system interfacing

Abstract

The focus of this thesis is on the applications of nonlinear dynamical systems in bioengineering which are mainly used in large-scale and generally categorised into two groups: (1) dynamical systems from biology (2) dynamical systems for biology. The mathematical models describing the dynamical systems used in the above systems can be simulated with the use of powerful software such as MATLAB, however, for large-scale simulations software begins to collapse. Besides, computer-based simulations are not always suitable for interfacing with biological/physical systems where continuous monitoring with low power and area consumption might be required. To alleviate these issues, a few novel hardware techniques for both aforementioned groups are proposed and their hardware results compared and validated by software simulations.