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This work treats the problem of blood pressure regulation in post cardiac surgery patients with an improved model and reinforcement learning. The latter is the focus of the present study, specifically showing that it is suitable for the automatic control of blood pressure in post cardiac surgery patients. The context is the direct use of clinical data, with no need for a patient model. Classical control,...
Run-to-Run control methods as applied in semiconductor manufacturing can greatly benefit from partitioning the observed disturbance state into separate components of tool and product disturbance states. Obtaining sufficiently accurate initial estimates of tool and product disturbance terms from historical data greatly improves the effectiveness of this method. Such an estimation method is developed...
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