Hardware realisation of nonlinear dynamical systems for and from biology
This work addresses the problem of interfacing with biological/physical systems for researchers in bioengineering, though it appears incremental as it builds on existing hardware and simulation methods.
The thesis tackled the challenge of simulating large-scale nonlinear dynamical systems in bioengineering by proposing novel hardware techniques to overcome software limitations and enable continuous monitoring with low power and area consumption, with results validated through software simulations.
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.