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Run-to-Run MPC Tuning via Gradient Descent

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Run-to-Run MPC Tuning via Gradient Descent

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Achieving Optimal Performance With Data-Driven Frequency-Based Control Synthesis Methods

Complexity analysis of stochastic gradient methods for PDE-constrained optimal control problems with uncertain parameters

Unified Approach to Convex Robust Distributed Control Given Arbitrary Information Structures

Kernel methods and Model predictive approaches for Learning and Control

Learning Non-Parametric Models with Guarantees: A Smooth Lipschitz Interpolation Approach

Adaptive model predictive control for linear time varying MIMO systems

Robust Controller Design For Linear Systems With Nonlinear Distortions: A Data-Driven Approach

Robust Controller Design For Linear Systems With Nonlinear Distortions: A Data-Driven Approach

Robust Controller Design For Linear Systems With Nonlinear Distortions. A Data-Driven Approach

PDE-constrained optimal control problems with uncertain parameters using SAGA

Kernel methods and Model predictive approaches for Learning and Control

Complexity analysis of stochastic gradient methods for PDE-constrained optimal control problems with uncertain parameters

Robust Controller Design For Linear Systems With Nonlinear Distortions: A Data-Driven Approach

Robust Controller Design For Linear Systems With Nonlinear Distortions. A Data-Driven Approach

Unified Approach to Convex Robust Distributed Control Given Arbitrary Information Structures

Robust Controller Design For Linear Systems With Nonlinear Distortions: A Data-Driven Approach

Adaptive model predictive control for linear time varying MIMO systems

Achieving Optimal Performance With Data-Driven Frequency-Based Control Synthesis Methods

Learning Non-Parametric Models with Guarantees: A Smooth Lipschitz Interpolation Approach

PDE-constrained optimal control problems with uncertain parameters using SAGA