Lamacon and Focus Group Combine Expertise in Optimization and Simulation Modeling

Seed-Anchored Graph Rendering for QA on Power-Grid CIM/CGMES Models

PUR-1 Cyber-Physical Digital Twin

The article discusses an architecture of a digital twin for nuclear systems, integrating multiple models (physics-based and data-driven) to support decision making, state estimation, predictive control, and real-time data processing. The twin must synchronize with the physical facility faster than its operational cycle.

Stochastic Nonlinear MPC with Gaussian Mixture Uncertainty Propagation

A new stochastic nonlinear model predictive control method for systems with additive noise is proposed. State distribution is approximated by Gaussian mixture with error bounds in Wasserstein distance. This yields closed-form expressions for expected costs and chance constraints, and the problem is solvable via nonlinear programming with correctness guarantees.