AI RESEARCH
Hierarchical Causal Abduction: A Foundation Framework for Explainable Model Predictive Control
arXiv CS.AI
•
ArXi:2605.10624v1 Announce Type: new Model Predictive Control (MPC) is widely used to operate safety-critical infrastructure by predicting future trajectories and optimizing control actions. However, nonlinear dynamics, hard safety constraints, and numerical optimization often render individual control moves opaque to human operators, undermining trust and hindering deployment.