<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Conference Paper</dc:product_type><dc:title>Peak Estimation for Uncertain and Switched Systems</dc:title><dc:creator>Miller, Jared; Henrion, Didier; Sznaier, Mario; Korda, Milan</dc:creator><dc:corporate_author/><dc:editor/><dc:description>Peak estimation bounds extreme values of a function of state along trajectories of a dynamical system. This paper focuses on extending peak estimation to continuous and discrete settings with time-independent and time-dependent uncertainty. Techniques from optimal control are used to incorporate uncertainty into an existing occupation measure-based peak estimation framework, which includes special consideration for handling switching-type (polytopic) uncertainties. The resulting infinite-dimensional linear programs can be solved approximately with Linear Matrix Inequalities arising from the moment-SOS hierarchy.</dc:description><dc:publisher/><dc:date>2021-12-14</dc:date><dc:nsf_par_id>10349423</dc:nsf_par_id><dc:journal_name>60th IEEE Conf. Decision and Control</dc:journal_name><dc:journal_volume/><dc:journal_issue/><dc:page_range_or_elocation>3222 to 3228</dc:page_range_or_elocation><dc:issn/><dc:isbn/><dc:doi>https://doi.org/10.1109/CDC45484.2021.9683778</dc:doi><dcq:identifierAwardId>1808381; 1646121; 2038493</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>