It is noted that the optimal controlwithout state constraint or without obstacle of the phase field model was discussed in[14, 17 20].
The state space representation of each subsystem's prediction model is designed by finite volume method firstly, and then is linearized around the current operating point at each step to overcome the computational obstacle of nonlinear model.
However, evaluation of the interaction between these microbial populations has the obstacle of the lack of simple model organisms suitable for these studies.
Nanoparticle agglomeration is a main obstacle for the experimental verification of the model as well as for efficient tumour targeting.
Despite great progress in the state-of-the-art models, significant obstacles remain in collecting the necessary input data and understanding the influence of the modelling assumptions.
This is clearly a fundamental obstacle of determining the true model parameters from measurements even if the selected model structure is considered to be correct.
Besides, Argentina presents higher levels of informality than Chile, which is one of the main obstacles the model can deal with.
Assuming that the domain wall mobility depends on temperature according to the Arrhenius equation, the microscopic parameters of the model including the obstacle strength and activation energy are extracted from the temperature dependence of the coercive field.
Genetic algorithms are able to optimise parameters of obstacles so that the model can be adjusted according to the measured data.
However, a major obstacle of this proposed model in a tumour setting is the dependence on the vasculature of the tumour itself.
