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2020 59th IEEE Conference on Decision and Control (CDC)
Systems with fast and slow dynamics give rise to objectives in different time scales which may not be aligned. The existing dynamic optimal control methods might become computationally infeasible due to the fine discretization required to capture the fast dynamics. On the other hand, a real time optimization (RTO) method based on steady-state models, which is computationally efficient, can greedily drive the plant towards optimal operation. The drawback of the RTO approach is that it may yielddoi:10.1109/cdc42340.2020.9304460 fatcat:hwz3u4qzlrc3zag77vvxxcimvi