Robustness, Adaptation, and Learning in Optimal Control
<p>Recent technological advances have opened the door to a wide variety of dynamic control applications, which are enabled by increasing computational power in ever smaller devices. These advances are backed by reliable optimization algorithms that allow specification, synthesis, and embedded...
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| Format: | Others |
| Language: | en |
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2016
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| Online Access: | https://thesis.library.caltech.edu/9831/1/ipthesis.pdf Papusha, Ivan Igorevych (2016) Robustness, Adaptation, and Learning in Optimal Control. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z9F18WPB. https://resolver.caltech.edu/CaltechTHESIS:06032016-102336160 <https://resolver.caltech.edu/CaltechTHESIS:06032016-102336160> |
Internet
https://thesis.library.caltech.edu/9831/1/ipthesis.pdfPapusha, Ivan Igorevych (2016) Robustness, Adaptation, and Learning in Optimal Control. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z9F18WPB. https://resolver.caltech.edu/CaltechTHESIS:06032016-102336160 <https://resolver.caltech.edu/CaltechTHESIS:06032016-102336160>