Ji Yin
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RPCBF: Constructing Safety Filters Robust to Model Error and Disturbances via Policy Control Barrier Functions
[Submitted on 15 Oct 2024 ( v1 ), last revised 16 Oct 2024 (this version, v2)] Title:RPCBF: Constructing Safety Filters Robust to Model Error and Disturbances via Policy Control Barrier Functions View a PDF of the paper titled RPCBF: Constructing Safety Filters Robust to Model Error and Disturbances via Policy Control Barrier Functions, by Luzia Knoedler and 7 other authors View PDF HTML (experimental) Abstract:Control Barrier Functions (CBFs) have proven to be an effective tool for...
Orthogonal projection based statistical feature extraction for continuous process monitoring
Chemical production is accompanied by flammable and explosive raw materials, harsh production conditions and a large number of environmentally harmful by-products, and therefore process safety is a critical prerequisite. Fault detection, diagnosis, and prognosis play an important role in ensuing process safety Arunthavanathan, et al. (2021), Chiang, et al.
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