APECS: Adaptive Personalized Control System Architecture

• URL: http://arxiv.org/abs/2503.09624v1
• Date: Mon, 10 Mar 2025 20:11:19 GMT
• Title: APECS: Adaptive Personalized Control System Architecture
• Authors: Marius F. R. Juston, Alex Gisi, William R. Norris, Dustin Nottage, Ahmet Soylemezoglu,
• Abstract summary: This paper presents the Adaptive Personalized Control System (APECS) architecture, a novel framework for human-in-the-loop control.<n>An architecture is developed which defines appropriate constraints for the system objectives.<n>A method for enacting Lipschitz and sector bounds on the resulting controller is derived to ensure desirable control properties.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper presents the Adaptive Personalized Control System (APECS) architecture, a novel framework for human-in-the-loop control. An architecture is developed which defines appropriate constraints for the system objectives. A method for enacting Lipschitz and sector bounds on the resulting controller is derived to ensure desirable control properties. An analysis of worst-case loss functions and the optimal loss function weighting is made to implement an effective training scheme. Finally, simulations are carried out to demonstrate the effectiveness of the proposed architecture. This architecture resulted in a 4.5% performance increase compared to the human operator and 9% to an unconstrained feedforward neural network trained in the same way.

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