500 citations · 2.4k across the 118 of their papers we have counts for
9 papers · 2 filters
Data-Enabled Predictive Control: In the Shallows of the DeePC
Jeremy Coulson, John Lygeros, Florian Dörfler
We consider the problem of optimal trajectory tracking for unknown systems. A novel data-enabled predictive control (DeePC) algorithm is presented that computes optimal and safe co…
Decentralized Resource Allocation via Dual Consensus ADMM
Goran Banjac, Felix Rey, Paul Goulart +1
We consider a resource allocation problem over an undirected network of agents, where edges of the network define communication links. The goal is to minimize the sum of agent-spec…
A Two-Stage Polynomial Approach to Stochastic Optimization of District Heating Networks
Marc Hohmann, Joseph Warrington, John Lygeros
In this paper, we use stochastic polynomial optimization to derive high-performance operating strategies for heating networks with uncertain or variable demand. The heat flow in di…
A Moment and Sum-of-Squares Extension of Dual Dynamic Programming with Application to Nonlinear Energy Storage Problems
Marc Hohmann, Joseph Warrington, John Lygeros
We present a finite-horizon optimization algorithm that extends the established concept of Dual Dynamic Programming (DDP) in two ways. First, in contrast to the linear costs, dynam…
Optimal Linearizations of Power Systems with Uncertain Supply and Demand
Marc Hohmann, Joseph Warrington, John Lygeros
Linearized models of power systems are often desirable to formulate tractable control and optimization problems that still reflect real-world physics adequately under various opera…
Data-Driven Chance Constrained Optimization under Wasserstein Ambiguity Sets
Ashish R. Hota, Ashish Cherukuri, John Lygeros
We present a data-driven approach for distributionally robust chance constrained optimization problems (DRCCPs). We consider the case where the decision maker has access to a finit…