research
∙
04/24/2023
Stochastic MPC for energy hubs using data driven demand forecasting
Energy hubs convert and distribute energy resources by combining differe...
share
research
∙
04/24/2023
Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype algorithm
We study the problem of optimally routing plug-in electric and conventio...
research
∙
02/09/2023
Designing Fairness in Autonomous Peer-to-peer Energy Trading
Several autonomous energy management and peer-to-peer trading mechanisms...
research
∙
11/18/2022
Optimal service station design for traffic mitigation via genetic algorithm and neural network
This paper analyzes how the presence of service stations on highways aff...
research
∙
11/15/2022
Drone-based Volume Estimation in Indoor Environments
Volume estimation in large indoor spaces is an important challenge in ro...
research
∙
11/14/2022
Implications of Regret on Stability of Linear Dynamical Systems
The setting of an agent making decisions under uncertainty and under dyn...
research
∙
11/14/2022
Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control
We consider control of dynamical systems through the lens of competitive...
research
∙
11/14/2022
Stability and Robustness of Distributed Suboptimal Model Predictive Control
In distributed model predictive control (MPC), the control input at each...
research
∙
05/31/2022
Data-driven Reference Trajectory Optimization for Precision Motion Systems
We propose an optimization-based method to improve contour tracking perf...
research
∙
05/24/2022
Advanced Manufacturing Configuration by Sample-efficient Batch Bayesian Optimization
We propose a framework for the configuration and operation of expensive-...
research
∙
04/10/2022
Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch
In Iterative Learning Control (ILC), a sequence of feedforward control a...
research
∙
02/01/2022
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation
Despite their success, policy gradient methods suffer from high variance...
research
∙
12/31/2021
Stochastic convex optimization for provably efficient apprenticeship learning
We consider large-scale Markov decision processes (MDPs) with an unknown...
research
∙
12/28/2021
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations
We consider large-scale Markov decision processes with an unknown cost f...
research
∙
10/29/2021
Physics-informed linear regression is a competitive approach compared to Machine Learning methods in building MPC
Because physics-based building models are difficult to obtain as each bu...
research
∙
03/25/2021
Sample-efficient Plasma Spray Process Configuration with Constrained Bayesian Optimization
Recent work has shown constrained Bayesian optimization to be a powerful...
research
∙
01/19/2021
Safe and Efficient Model-free Adaptive Control via Bayesian Optimization
Adaptive control approaches yield high-performance controllers when a pr...
research
∙
11/26/2020
Learning from Simulation, Racing in Reality
We present a reinforcement learning-based solution to autonomously race ...
research
∙
11/26/2020
Input Convex Neural Networks for Building MPC
Model Predictive Control in buildings can significantly reduce their ene...
research
∙
03/10/2020
Optimization-Based Hierarchical Motion Planning for Autonomous Racing
In this paper we propose a hierarchical controller for autonomous racing...
research
∙
10/01/2019
The Nash Equilibrium with Inertia in Population Games
In the traditional game-theoretic set up, where agents select actions an...
research
∙
05/13/2019
AMZ Driverless: The Full Autonomous Racing System
This paper presents the algorithms and system architecture of an autonom...
research
∙
11/22/2018
Inference of the three-dimensional chromatin structure and its temporal behavior
Understanding the three-dimensional (3D) structure of the genome is esse...
research
∙
03/20/2018
Decentralized decision making for networks of uncertain systems
Distributed model predictive control (MPC) has been proven a successful ...
research
∙
03/20/2018
Distributed Model Predictive Control for Linear Systems with Adaptive Terminal Sets
In this paper, we propose a distributed model predictive control (DMPC) ...
research
∙
03/07/2018
On the Efficiency of Nash Equilibria in Aggregative Charging Games
Several works have recently suggested to model the problem of coordinati...
research
∙
03/07/2018
On the Efficiency of Nash Equilibria in Charging Games
We consider charging problems, where the goal is to coordinate the charg...
research
∙
12/11/2017
A Non-Cooperative Game Approach to Autonomous Racing
We consider autonomous racing of two cars and present an approach to for...
research
∙
06/14/2017