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Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.636
Abstract: Abstract Most of the existing stochastic model predictive control (SMPC) algorithms for systems subject to random disturbance are designed offline using the distribution information of the uncertainties. In this paper, we propose an iterative learning…
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Keywords:
iterative learning;
adaptive constraint;
learning stochastic;
constraint tightening ... See more keywords