New SHRED-ROM method enables real-time optimal control for complex systems

Researchers have developed a novel method called SHallow REcurrent Decoder networks-based Reduced Order Modeling (SHRED-ROM) to create real-time optimal controllers for complex dynamical systems. This approach leverages limited state sensor readings and expert demonstrations to mimic effective control actions in new scenarios, overcoming the computational challenges associated with high-dimensional dynamics. Additionally, a sensor forecaster is integrated to mitigate potential sensor failures or delays, enhancing the robustness of the control strategy. The effectiveness of SHRED-ROM has been demonstrated on challenging high-dimensional problems, including parametric density and fluid flow control. AI

RANK_REASON The cluster contains a research paper detailing a new methodology for optimal control. [lever_c_demoted from research: ic=1 ai=1.0]

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• arXiv
• cs.LG
• Matteo Tomasetto
• SHallow REcurrent Decoder networks-based Reduced Order Modeling
• SHRED-ROM

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