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— In this paper we present a methodology for achieving real-time control of systems modeled by partial differential equations. The methodology uses the explicit solution of the model predictive control (MPC) problem combined with model reduction. The explicit solution of the MPC problem leads to on-line MPC functionality without having to solve an(More)
In this paper we present a framework for achieving constrained optimal real-time control for large-scale systems with fast dynamics. The methodology uses the explicit solution of the model predictive control (MPC) problem combined with model reduction, in an output-feedback implementation. The explicit solution of the MPC problem leads to online MPC(More)
— In this paper, we present a systematic procedure for obtaining closed-loop stable output-feedback model pre-dictive control based on reduced-order models. The design uses linear state estimators, and applies to open-loop stable systems with hard input-and soft state constraints. Robustness against the model reduction error is obtained by choosing the cost(More)
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