Model predictive control strategies using consensus-based optimization
Model predictive control strategies using consensus-based optimization
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Model predictive control strategies require to solve in an sequential manner, many, possibly non-convex, optimization problems. In this work, we propose an interacting stochastic agent system to solve those problems. The agents evolve in pseudo-time and in parallel to the time-discrete state evolution. The method is suitable for non-convex, non-dif...
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Model predictive control strategies using consensus-based optimization
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TN_cdi_proquest_journals_2904548853
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2904548853
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E-ISSN
2331-8422
