Lecture 17: Stochastic Model Predictive Control
author: Stephen P. Boyd,
Department of Electrical Engineering, Stanford University
published: July 21, 2010, recorded: April 2008, views: 4027
released under terms of: Creative Commons Attribution Non-Commercial (CC-BY-NC)
published: July 21, 2010, recorded: April 2008, views: 4027
released under terms of: Creative Commons Attribution Non-Commercial (CC-BY-NC)
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So what this is is that the next state depends on actually two things – well, three things really. It depends on the current state, so that’s this. It depends on your action, and it depends on this random variable. Actually, at this point, it’s not yet a random variable, but it’s something – the idea is it will soon be a random variable – and it depends on something that you don’t know fully. That’s W of t. ...
See the whole transcript at Convex Optimization II - Lecture 17
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