Lakshmi N Sridhar
The many wildfire disasters that have caused tremendous destruction make it necessary to understand how the intensity of the
fire varies with time and the path taken by the flames as they spread through a region. To gain a scientific understanding of
these two issues and to be able to control the wildfire spread it is important to develop computational strategies to predict the
paths taken by the flames and to minimize the damage done. In this paper, bifurcation analysis and multiobjective nonlinear
model predictive control calculations are conducted on the reaction-diffusion wild spread model. Bifurcation analysis and
multiobjective nonlinear model predictive control calculations of the reaction-diffusion fire dynamic model was performed.
Bifurcation analysis was performed using the MATLAB software MATCONT. The multiobjective nonlinear model predictive
control was performed with the optimization Language PYOMO. The bifurcation analysis reveals the existence of limit points
and the multiobjective nonlinear model predictive control calculations demonstrate that the rate at which the area is being
burned could be minimized and the rate at which the fire is being extinguished could be maximized simultaneously