Data-Driven Control and Optimization under Noisy and Uncertain Conditions

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Data-Driven Control and Optimization under Noisy and Uncertain Conditions

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Design and implementation of a model-based hierarchical architecture for plasma shape control in the TCV tokamak

Improving the accuracy and interpretability of neural networks for wind power forecasting

Lessons Learned Executing the Non-disruptive Compass Scan Method at Jet Towards Error Field Identification Experiments in Iter

Design Trade-offs of Second Harmonic Minimization in Solid-State Transformers

How Gradient Descent Balances Features: A Dynamical Analysis For Two-Layer Neural Networks

Learning to Remove Cuts in Integer Linear Programming

The effect of smooth parametrizations on nonconvex optimization landscapes

Frequency domain data-driven robust and optimal control

Scalable constrained optimization

Stability: a search for structure

An Iterative Adaptive Dynamic Programming Approach for Macroscopic Fundamental Diagram-Based Perimeter Control and Route Guidance

Unified Harmonic Power-Flow and Stability Analysis of Power Grids with Converter-Interfaced Distributed Energy Resources

Perturbed Utility Stochastic Traffic Assignment

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Accurate and agile flight with winged drones

Less Conservatism, Stronger Robustness: Iterative Robust Gain-Scheduled Path Following Control of Autonomous Bus With Unstructured and Changing Dynamics

The complexity of quantum support vector machines

On the Generalization of Stochastic Gradient Descent with Momentum

COMMUNICATION LOWER BOUNDS AND OPTIMAL ALGORITHMS FOR MULTIPLE TENSOR-TIMES-MATRIX COMPUTATION

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems