This should be doable with custom constraints in nonlinear MPC. You can create your own function that decides how the constraint works.
Binary Decision Variable in MPC
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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?
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