1 citations · 2 across the 7 of their papers we have counts for
7 papers
A Multi-Area Architecture for Real-Time Feedback-Based Optimization of Distribution Grids
Ilyas Farhat, Etinosa Ekomwenrenren, John W. Simpson-Porco +3
A challenge in transmission-distribution coordination is how to quickly and reliably coordinate Distributed Energy Resources (DERs) across large multi-stakeholder Distribution Netw…
Closed-Loop Motion Planning for Differentially Flat Systems: A Time-Varying Optimization Framework
Tianqi Zheng, John W. Simpson-Porco, Enrique Mallada
Motion planning and control are two core components of the robotic systems autonomy stack. The standard approach to combine these methodologies comprises an offline/open-loop stage…
Automated Lyapunov Analysis of Primal-Dual Optimization Algorithms: An Interpolation Approach
Bryan Van Scoy, John W. Simpson-Porco, Laurent Lessard
Primal-dual algorithms are frequently used for iteratively solving large-scale convex optimization problems. The analysis of such algorithms is usually done on a case-by-case basis…
Data-Driven Fast Frequency Control using Inverter-Based Resources
Etinosa Ekomwenrenren, John W. Simpson-Porco, Evangelos Farantatos +3
To address the control challenges associated with the increasing share of inverter-connected renewable energy resources, this paper proposes a direct data-driven approach for fast…
Data-Driven Output Regulation using Single-Gain Tuning Regulators
Liangjie Chen, John W. Simpson-Porco
Current approaches to data-driven control are geared towards optimal performance, and often integrate aspects of machine learning and large-scale convex optimization, leading to co…
Low-Gain Stabilizers for Linear-Convex Optimal Steady-State Control
John W. Simpson-Porco
We consider the problem of designing a feedback controller which robustly regulates an LTI system to an optimal operating point in the presence of unmeasured disturbances. A genera…