Media Summary: Introduces the PFC concepts of coincidence horizon and the desired time constant/settling time/closed-loop pole. Shows how ... The earlier videos used an explicit bias computation in order to ensure unbiased predictions in the steady-state. However, it is ... This lecture provides an overview of model
Predictive Predictive Functional Control 1 - Detailed Analysis & Overview
Introduces the PFC concepts of coincidence horizon and the desired time constant/settling time/closed-loop pole. Shows how ... The earlier videos used an explicit bias computation in order to ensure unbiased predictions in the steady-state. However, it is ... This lecture provides an overview of model Shows that PFC can easily take account of input constraints with a minimum of coding complexity - in effect the addition of a few ... While the incorporation of input constraints is easy, state or output constraints are more challenging because one needs to test ... Introduces the concepts underpinning PFC, that is the links to human behaviour, the desire for computational and intuitive ...
Extends the algorithm from the previous section to be more rigorous so that it is able to deal with parameter uncertainty and ... Gives the human or philosophical thinking behind