21 February 2020 2 6K Report

As I read about stochastic MPC approaches, there are some approaches claim satisfaction of chance constraints in prediction or in closed-loop sense using different ways of tightening the chance constraints. I am wondering what is the difference between both and how to test them in practice?

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