I am a fourth-year PhD student on Optimization and Control in EPF Lausanne, supervised by Prof. Giancarlo Ferrari Trecate and Prof. Maryam Kamgarpour. My current research interest is model-free optimization with its application in power system operation, controller tuning and reinforcement learning. Previously, I obtained my Master degree in Electrical Engineering from ETH Zurich. My dual Bachelor degrees from Harbin Institute of Technology are in Electrical Engineering and Applied Mathematics.

Publications (J/C) and preprints (PJ/PC)

On Zeroth-Order Optimization

• [PC] Safe zeroth-order approach using linear programs
  Baiwei Guo, Yang Wang, Yuning Jiang, Maryam Kamgarpour, and Giancarlo Ferrari-Trecate.
  Submitted to CDC 23.
• [PJ] Safe zeroth-order optimization using quadratic local approximations
  Baiwei Guo, Yuning Jiang, Giancarlo Ferrari-Trecate, and Maryam Kamgarpour. (2023).
  Submitted to Automatica.
• [C] Safe zeroth-order convex optimization using quadratic local approximations
  Baiwei Guo, Yuning Jiang, Maryam Kamgarpour, and Giancarlo Ferrari-Trecate. (2023).
  Accepted to European Control Conference (ECC) 2023.

On Behavioral-Model-Based Robust Control

• [PJ] Data-Driven Robust Control based on Perturbation Analysis of the Behavioral Model
  Baiwei Guo, Yuning Jiang, Giancarlo Ferrari Trecate. (2023).
  In preparation.
• [J] Near-optimal design of safe output feedback controllers from noisy data
  Furieri Luca, Baiwei Guo, Andrea Martin, and Giancarlo Ferrari-Trecate.
  IEEE Transactions on Automatic Control (2022).
• [C] A behavioral input-output parametrization of control policies with suboptimality guarantees
  Furieri Luca, Baiwei Guo, Andrea Martin, and Giancarlo Ferrari-Trecate.
  In 60th IEEE Conference on Decision and Control (CDC), 2021.
• [C] Non-conservative design of robust tracking controllers based on input-output data
  Xu Liang, Mustafa Sahin Turan, Baiwei Guo, and Giancarlo Ferrari-Trecate.
  In Learning for Dynamics and Control, 2021.

On Combinatorial Optimization and Actuator Placement

• [C] Actuator placement for structural controllability beyond strong connectivity and towards robustness
  Baiwei Guo, Orcun Karaca, Sepide Azhdari, Maryam Kamgarpour, and Giancarlo Ferrari-Trecate.
  In 60th IEEE Conference on Decision and Control (CDC), 2021.
• [J] A comment on performance guarantees of a greedy algorithm for minimizing a supermodular set function on comatroid
  Karaca Orcun, Baiwei Guo, and Maryam Kamgarpour.
  European Journal of Operational Research (2021).
• [J] Actuator placement under structural controllability using forward and reverse greedy algorithms
  Baiwei Guo, Orcun Karaca, Tyler Summers, and Maryam Kamgarpour.
  IEEE Transactions on Automatic Control (2020).
• [C] Actuator placement for optimizing network performance under controllability constraints
  Baiwei Guo, Orcun Karaca, Tyler Summers, and Maryam Kamgarpour.
  In 58th IEEE Conference on Decision and Control (CDC), 2019.

On Sample Complexity Analysis

• [C] Finite-sample-based Spectral Radius Estimation and Stabilizability Test for Networked Control Systems
  Liang Xu, Baiwei Guo, and Giancarlo Ferrari-Trecate.
  In 2022 European Control Conference (ECC).

On Distributed Optimal Control

• [C] Suboptimal distributed LQR design for physically coupled systems
  Liang Xu, Baiwei Guo, Clara Galimberti, Marcello Farina, Ruggero Carli, and Giancarlo Ferrari Trecate.
  In IFAC World Congress 2020.