4 citations · 5 across the 3 of their papers we have counts for
5 papers · 1 filter
Robust Distributed and Localized Model Predictive Control
Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni +1
We present a robust Distributed and Localized Model Predictive Control (rDLMPC) framework for large-scale structured linear systems. The proposed algorithm uses the System Level Sy…
Synthesis to Deployment: Cyber-Physical Control Architectures
Shih-Hao Tseng, James Anderson
We consider the problem of how to deploy a controller to a (networked) cyber-physical system (CPS). Controlling a CPS is an involved task, and synthesizing a controller to respect…
Explicit Distributed and Localized Model Predictive Control via System Level Synthesis
Carmen Amo Alonso, Nikolai Matni, James Anderson
An explicit Model Predictive Control algorithm for large-scale structured linear systems is presented. We base our results on Distributed and Localized Model Predictive Control (DL…
Worst-Case Sensitivity of DC Optimal Power Flow Problems
James Anderson, Fengyu Zhou, Steven H. Low
In this paper we consider the problem of analyzing the effect a change in the load vector can have on the optimal power generation in a DC power flow model. The methodology is base…
The Optimal Power Flow Operator: Theory and Computation
Fengyu Zhou, James Anderson, Steven H. Low
Optimal power flow problems (OPFs) are mathematical programs used to determine how to distribute power over networks subject to network operation constraints and the physics of pow…