Model predictive control for systems with stochastic multiplicative uncertainty and probabilistic constraints
Robust predictive control handles constrained systems that are subject to stochastic uncertainty but propagating the effects of uncertainty over a prediction horizon can be computationally expensive and conservative. This paper overcomes these issues through an augmented autonomous prediction formul...
Main Authors: | , , |
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Format: | Journal article |
Language: | English |
Published: |
2009
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