Adrian Hauswirth

Orcid: 0000-0001-6205-0423

According to our database1, Adrian Hauswirth authored at least 16 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Optimization algorithms as robust feedback controllers.
Annu. Rev. Control., 2024

2022
Quantitative Sensitivity Bounds for Nonlinear Programming and Time-Varying Optimization.
IEEE Trans. Autom. Control., 2022

2021
Corrigendum to: "Timescale Separation in Autonomous Optimization".
IEEE Trans. Autom. Control., 2021

Timescale Separation in Autonomous Optimization.
IEEE Trans. Autom. Control., 2021

Projected Dynamical Systems on Irregular, Non-Euclidean Domains for Nonlinear Optimization.
SIAM J. Control. Optim., 2021

Non-Convex Feedback Optimization With Input and Output Constraints.
IEEE Control. Syst. Lett., 2021

Optimization Algorithms as Robust Feedback Controllers.
CoRR, 2021

2020
On the Differentiability of Projected Trajectories and the Robust Convergence of Non-Convex Anti-Windup Gradient Flows.
IEEE Control. Syst. Lett., 2020

Limit Behavior and the Role of Augmentation in Projected Saddle Flows for Convex Optimization.
CoRR, 2020

On the Robust Implementation of Projected Dynamical Systems with Anti-Windup Controllers.
Proceedings of the 2020 American Control Conference, 2020

2019
Experimental Validation of Feedback Optimization in Power Distribution Grids.
CoRR, 2019

2018
Generic Existence of Unique Lagrange Multipliers in AC Optimal Power Flow.
IEEE Control. Syst. Lett., 2018

Fully Decentralized ADMM for Coordination and Collision Avoidance.
Proceedings of the 16th European Control Conference, 2018

Time-varying Projected Dynamical Systems with Applications to Feedback Optimization of Power Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Stability of Dynamic Feedback optimization with Applications to Power Systems.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2016
Projected gradient descent on Riemannian manifolds with applications to online power system optimization.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016


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