This brief examines a deterministic, ODE-based model for gene regulatory
networks (GRN) that incorporates nonlinearities and time-delayed
feedback. An introductory chapter provides some insights into molecular
biology and GRNs. The mathematical tools necessary for studying the GRN
model are then reviewed, in particular Hill functions and Schwarzian
derivatives. One chapter is devoted to the analysis of GRNs under
negative feedback with time delays and a special case of a homogenous
GRN is considered. Asymptotic stability analysis of GRNs under positive
feedback is then considered in a separate chapter, in which conditions
leading to bi-stability are derived. Graduate and advanced undergraduate
students and researchers in control engineering, applied mathematics,
systems biology and synthetic biology will find this brief to be a clear
and concise introduction to the modeling and analysis of GRNs.