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公开(公告)号:US11693373B2
公开(公告)日:2023-07-04
申请号:US16709775
申请日:2019-12-10
Applicant: California Institute of Technology
Inventor: Guanya Shi , Xichen Shi , Michael O'Connell , Animashree Anandkumar , Yisong Yue , Soon-Jo Chung
CPC classification number: G05B13/027 , G06N3/04 , G06N3/084
Abstract: Systems and methods for learning based control in accordance with embodiments of the invention are illustrated. One embodiment includes a method for training an adaptive controller. The method includes steps for receiving a set of training data that includes several training samples, wherein each training sample includes a state and a true uncertain effect value. The method includes steps for computing an uncertain effect value based on the state, computing a set of one or more losses based on the true uncertain effect value and the computed uncertain effect value, and updating the adaptive controller based on the computed set of losses.
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2.
公开(公告)号:US20200183339A1
公开(公告)日:2020-06-11
申请号:US16709775
申请日:2019-12-10
Applicant: California Institute of Technology
Inventor: Guanya Shi , Xichen Shi , Michael O'Connell , Animashree Anandkumar , Yisong Yue , Soon-Jo Chung
Abstract: Systems and methods for learning based control in accordance with embodiments of the invention are illustrated. One embodiment includes a method for training an adaptive controller. The method includes steps for receiving a set of training data that includes several training samples, wherein each training sample includes a state and a true uncertain effect value. The method includes steps for computing an uncertain effect value based on the state, computing a set of one or more losses based on the true uncertain effect value and the computed uncertain effect value, and updating the adaptive controller based on the computed set of losses.
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