433 citations · 658 across the 44 of their papers we have counts for
9 papers · 1 filter
Optimal droop control placement in distribution network via an exact OPF relaxation method
H. Sekhavatmanesh, G. Ferrari-Trecate, S. Mastellone
In the last decade, the integration of Renewable Energy Sources (RES) in distribution networks has been constantly increasing due to their many technical, economical, and environme…
Optimal Adaptive Droop Design via a Modified Relaxation of the OPF
H. Sekhavatmanesh, G. Ferrari-Trecate, S. Mastellone
The ever increasing penetration of Renewable Energy Resources (RESs) in power distribution networks has brought, among others, the challenge of maintaining the grid voltages within…
Actuator Placement for Structural Controllability beyond Strong Connectivity and towards Robustness
Baiwei Guo, Orcun Karaca, Sepide Azhdari +2
Actuator placement is a fundamental problem in control design for large-scale networks. In this paper, we study the problem of finding a set of actuator positions by minimizing a g…
Finite-sample-based Spectral Radius Estimation and Stabilizability Test for Networked Control Systems
Liang Xu, Baiwei Guo, Giancarlo Ferrari-Trecate
In the analysis and control of discrete-time linear time-invariant systems, the spectral radius of the system state matrix plays an essential role. Usually, it is assumed that syst…
A Data-Driven Convex Programming Approach to Worst-Case Robust Tracking Controller Design
Liang Xu, Mustafa Sahin Turan, Baiwei Guo +1
This paper studies finite-horizon robust tracking control for discrete-time linear systems, based on input-output data. We leverage behavioral theory to represent system trajectori…
Non-conservative Design of Robust Tracking Controllers Based on Input-output Data
Liang Xu, Mustafa Sahin Turan, Baiwei Guo +1
This paper studies worst-case robust optimal tracking using noisy input-output data. We utilize behavioral system theory to represent system trajectories, while avoiding explicit s…
On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller
Ugo Rosolia, Yingzhao Lian, Emilio T. Maddalena +2
In this technical note we analyse the performance improvement and optimality properties of the Learning Model Predictive Control (LMPC) strategy for linear deterministic systems. T…
Hierarchical Plug-and-Play Voltage/Current Controller of DC Microgrid Clusters with Grid-Forming/Feeding Converters: Line-independent Primary Stabilization and Leader-based Distributed Secondary Regulation
Renke Han, Michele Tucci, Raffaele Soloperto +3
Considering the structure of dc Microgrids (MGs) composed of grid-forming/feeding converters, a hierarchical Plug-and-Play (PnP) voltage/current control architecture for MG cluster…
Average consensus problems in networks of agents with delayed communications
Pierre-Alexandre Bliman, Giancarlo Ferrari-Trecate
The present paper is devoted to the study of average consensus problems for undirected networks of dynamic agents having communication delays. The accent is put here on the study o…