add new constraints to Optimizer object during the for loop simulation

[huytruong1908]

Hello Professor Löfberg,

as suggested in some previous post, in order to reduce the yalmip time, we should create an optimizer object before entering the for loop. However in my problem, some additional constraints depend on variables which can only determined during the simulation (e.g the number of vehicles appearing at that time step). So I wonder is there an effective way to implement this? I think it would look like this:

controller = optimizer(FixedConstraints, Objective, Settings, Params, Outputs);
for loop       %simulation
    copied_controller = controller.copy()   % to prevent adding the same constraints to the optimizer object?
    FilteredScenario = .....     % processing the scenario to get the number of vehicles
    for n = 1: FilteredScenario.number_vehicles
         % here I want to add new constraints to the optimizer object
    end
    solve      % here solving the problem using copied_controller
end