Control of a river stretch with uncertain inflows

Unregulated flows in tributaries to a river carry uncertainties, and due to the long time delays, these flows need to be forecast. For efficient river operations we need a control strategy that can take such forecasts into account and generate a suitable control action. A randomized approach to Stochastic Model Predictive Control for such problems is proposed in this paper. It involves solving a computationally tractable variant of a finite horizon chance-constrained optimization problem. Results from a simulation example show that the strategy performs well.