500 citations · 2.4k across the 118 of their papers we have counts for
6 papers · 2 filters
Decentralized Data-Enabled Predictive Control for Power System Oscillation Damping
Linbin Huang, Jeremy Coulson, John Lygeros +1
We employ a novel data-enabled predictive control (DeePC) algorithm in voltage source converter (VSC) based high-voltage DC (HVDC) stations to perform safe and optimal wide-area co…
The Nash Equilibrium with Inertia in Population Games
Basilio Gentile, Dario Paccagnan, Bolutife Ogunsula +1
In the traditional game-theoretic set up, where agents select actions and experience corresponding utilities, an equilibrium is a configuration where no agent can improve their uti…
Real-Time Predictive Control for Precision Machining
Alexander Liniger, Luca Varano, Alisa Rupenyan +1
Precise positioning and fast traversal times are crucial in achieving high productivity and scale in machining. This paper compares two optimization-based predictive control approa…
Data-Enabled Predictive Control for Grid-Connected Power Converters
Linbin Huang, Jeremy Coulson, John Lygeros +1
We apply a novel data-enabled predictive control (DeePC) algorithm in grid-connected power converters to perform safe and optimal control. Rather than a model, the DeePC algorithm…
Nonlinear Control of Quadcopters via Approximate Dynamic Programming
Angel Romero, Paul N. Beuchat, Yvonne R. Stürz +2
While Approximate Dynamic Programming has successfully been used in many applications involving discrete states and inputs such as playing the games of Tetris or chess, it has not…
Accelerated Point-wise Maximum Approach to Approximate Dynamic Programming
Paul N. Beuchat, Joseph Warrington, John Lygeros
We describe an approximate dynamic programming approach to compute lower bounds on the optimal value function for a discrete time, continuous space, infinite horizon setting. The a…