Fair-MPC: A Framework for Just Decision-Making

• 成果类型: Article
• 署名作者: Villa, Eugenia; Breschi, Valentina; Tanelli, Mara
• 署名单位: Polytechnic University of Milan; Eindhoven University of Technology
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2025.3553072
• 发表日期: 2025
• 页码: 6005-6020
• 关键词: Roads; Predictive control; decision making; vectors; indexes; Urban areas; resource management; Heuristic algorithms; COSTS; control theory; fairness; model predictive control; societally-aware decision-making

摘要

While control theory can be pivotal in addressing societal challenges and helping policymakers in shaping our future, control schemes must incorporate elements of social justice to be both up to the task and fair. In turn, this requires the formulation of new constraints and control objectives and their integration into existing or new control design strategies. Devising a formally sound framework to ensure social fairness in control can enable a leap in understanding the implications of justice when closing the loop. In this challenging context, we propose and analyze the properties of Fair model predictive control, an economic model predictive control scheme promoting fairness by integrating into the design strategy social fairness metrics, articulated in equality and equity. This allows optimizing input sequences that balance fairness and efficiency, which are often in conflict.