Adaptive predictive control of dissolved oxygen concentration in a dynamic model of whiteleg shrimp culture

This article introduces a dynamic model for dissolved oxygen content in an aquaculture system of whiteleg shrimp. Additionally, a non-linear controller has been designed for hourly control. This time frequency is necessary because of the time required to reach the predicted levels of oxygen. The dynamic model has incorporated a shrimp growth model calibrated with real data. The results show how the controller maintains the dissolved oxygen levels in the desired target, helping to improve production and minimize costs.