I want to create a model-predictive contoller using Matlab's MPC Toolbox. However, the contraints involve binary decisions variables. Can the MPC Toolbox cope with them as well?
For more detail, basically, I have contraints which need to change depending on the plant's state. This could be solved by using binary variables, but maybe there is another approach as well?