Dear Amit

If you want accurate results you should use continous simulation. The integration algorithms estimate the step size and calculate than the results. Also the simulation may faster because you need less calculations during the simulation.

If you want to apply your model in an embedded system or you would like derive c source code from the model using rtw, embedded coder or targetlink you should use discrete simulation. Than you can understand the model by means of accuracy, calculation speed and stability in such an environment.

The nature of states in the model

Continuous solvers use numerical integration to compute continuous states of a model at the current time step based on the states at previous time steps and the state derivatives. Continuous solvers rely on individual blocks to compute the values of the discrete states of the model at each time step.

Discrete solvers are primarily for solving purely discrete models. They compute only the next simulation time step for a model. When they perform this computation, they rely on each block in the model to update its individual discrete state. They do not compute continuous states.

thank you