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Stochastic Model Predictive Control for Linear Systems with Unbounded Additive Uncertainties
Secondly, by utilizing the probabilistic positively invariant set, the probabilistically resolvable constant tube-based stochastic model predictive control algorithm is developed by employing the constantly tightened constraints in the entire prediction horizons.
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