Robust and structure exploiting optimisation algorithms: an integral quadratic constraint approach-Reference-Cited by-同舟云学术

Robust and structure exploiting optimisation algorithms: an integral quadratic constraint approach

Published:2020-04-01 Issue:11 Volume:94 Page:2956-2979
ISSN:0020-7179
Container-title:International Journal of Control
language:en
Short-container-title:International Journal of Control

Author:

Michalowsky Simon¹^ORCID,Scherer Carsten²,Ebenbauer Christian¹

Affiliation:

1. Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany

2. Mathematical Systems Theory, University of Stuttgart, Stuttgart, Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Informa UK Limited

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207179.2020.1745286

Reference41 articles.

1. Aybat, N. S., Fallah, A., Gürbüzbalaban, M. & Ozdaglar, A. (2019). Robust accelerated gradient methods for smooth strongly convex functions. ArXiv e-prints arXiv:1805.10579.

2. Control Perspectives on Numerical Algorithms and Matrix Problems

3. Boczar, R., Lessard, L., Packard, A. & Recht, B. (2017). Exponential stability analysis via integral quadratic constraints. ArXiv e-prints arXiv:1706.01337.

4. Boczar, R., Lessard, L. & Recht, B. (2015). Exponential convergence bounds using integral quadratic constraints. Proceedings of the 54th IEEE Conference on Decision and Control (CDC) (7516–7521). Osaka, Japan.

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On the Exactness of a Stability Test for Discrete-Time Lur'e Systems With Slope-Restricted Nonlinearities;IEEE Transactions on Automatic Control;2024-07

2. Nonlinear optimization filters for stochastic time‐varying convex optimization;International Journal of Robust and Nonlinear Control;2024-04-25

3. Automated tight Lyapunov analysis for first-order methods;Mathematical Programming;2024-02-26

4. Automated Lyapunov Analysis of Primal-Dual Optimization Algorithms: An Interpolation Approach;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

5. Optimization Algorithm Synthesis Based on Integral Quadratic Constraints: A Tutorial;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13