Work

Fair-MPC: A Framework for Just Decision-Making

Year: 2025

Type: article

Abstract: 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 inequalityandequity. This allows optimizing input sequences that balance fairness and efficiency, which are often in conflict.

Source: IEEE Transactions on Automatic Control

DOI: 10.1109/tac.2025.3553072

Authors: Eugenia Villa, Valentina Breschi, Mara Tanelli

Institutions: Politecnico di Milano, Eindhoven University of Technology

Language: English

Topic: Advanced Control Systems Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Reduced inequalities, Peace, justice, and strong institutions

Open Access status: hybrid

Estimated APC paid: $2,645