Mutual Information Optimal Density Control of Linear Systems and Generalized Schr" o dinger Bridges with Reference Refinement
The paper proposes a Mutual Information (MI) optimal density control for linear systems to manage state uncertainty in safety-critical applications. It introduces an alternating optimization algorithm that proves this control problem is equivalent to solving a generalized Schrödinger bridge problem with reference refinement, linking two distinct theoretical frameworks.