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KPC: Learning-Based Model Predictive Control with Deterministic Guarantees

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KPC: Learning-Based Model Predictive Control with Deterministic Guarantees

Graph Chatbot

Chattez avec Graph Search

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Model Adequacy for Real-Time Optimization

Distributed bounded-error state estimation for partitioned systems based on practical robust positive invariance

Efficient Interior Point Methods for Multistage Problems Arising in Receding Horizon Control

Hessian Schatten-Norm Regularization for Linear Inverse Problems

Distributed bounded-error state estimation for partitioned systems based on practical robust positive invariance

Efficient Interior Point Methods for Multistage Problems Arising in Receding Horizon Control

Distributed throughput optimization over P2P mesh networks using diffusion adaptation

Plug-and-play distributed state estimation for linear systems

Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets

Reduced Models for Optimal Control, Shape Optimization and Inverse Problems in Haemodynamics