Angelos Georghiou

发表

Decentralized decision making for networks of uncertain systems pdf

John Lygeros, Georgios Darivianakis, Angelos Georghiou, 2018, ArXiv.

The decision rule approach to optimization under uncertainty: methodology and applications

Wolfram Wiesemann, Angelos Georghiou, Daniel Kuhn, 2018, Computational Management Science.

Design of Near Optimal Decision Rules in Multistage Adaptive Mixed-Integer Optimization

Dimitris Bertsimas, Angelos Georghiou, D. Bertsimas, 2015, Oper. Res..

Racing miniature cars: Enhancing performance using Stochastic MPC and disturbance feedback

John Lygeros, Xiaojing Zhang, Alexander Liniger, 2017, 2017 American Control Conference (ACC).

Balancing bike sharing systems through customer cooperation - a case study on London's Barclays Cycle Hire

John Lygeros, Xiaojing Zhang, Angelos Georghiou, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Flow-maximizing equilibria of the Cell Transmission Model

John Lygeros, Angelos Georghiou, Paul J. Goulart, 2015, 2015 European Control Conference (ECC).

Primal and dual linear decision rules in stochastic and robust optimization

Daniel Kuhn, Wolfram Wiesemann, Angelos Georghiou, 2011, Math. Program..

Robust Dual Dynamic Programming

Angelos Georghiou, Wolfram Wiesemann, Angelos Tsoukalas, 2019, Oper. Res..

Low-complexity method for hybrid MPC with local optimality guarantees

Alexander Domahidi, Juan L. Jerez, Manfred Morari, 2016 .

Robust optimal control with adjustable uncertainty sets pdf

John Lygeros, Maryam Kamgarpour, Angelos Georghiou, 2015, Autom..

Performance Guarantees for Model-Based Approximate Dynamic Programming in Continuous Spaces

John Lygeros, Angelos Georghiou, Paul N. Beuchat, 2016, IEEE Transactions on Automatic Control.

Binary decision rules for multistage adaptive mixed-integer optimization

Dimitris Bertsimas, Angelos Georghiou, D. Bertsimas, 2018, Math. Program..

Distributionally Robust Parametric Maximum Likelihood Estimation pdf

Viet Anh Nguyen, Angelos Georghiou, Jose Blanchet, 2020, NeurIPS.

A stochastic optimization approach to cooperative building energy management via an energy hub

John Lygeros, Roy S. Smith, Georgios Darivianakis, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Generalized decision rule approximations for stochastic programming via liftings

Daniel Kuhn, Wolfram Wiesemann, Angelos Georghiou, 2014, Mathematical Programming.

Low-Complexity Method for Hybrid MPC with Local Guarantees

Manfred Morari, Alexander Domahidi, Juan L. Jerez, 2016, SIAM J. Control. Optim..

Convex approximation of chance-constrained MPC through piecewise affine policies using randomized and robust optimization

John Lygeros, Xiaojing Zhang, Angelos Georghiou, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Robust Optimization with Decision-Dependent Information Discovery

Han Yu, Angelos Georghiou, Phebe Vayanos, 2020, 2004.08490.

The Power of Diversity: Data-Driven Robust Predictive Control for Energy-Efficient Buildings and Districts

John Lygeros, Roy S. Smith, Georgios Darivianakis, 2016, IEEE Transactions on Control Systems Technology.

A Primal-Dual Lifting Scheme for Two-Stage Robust Optimization

Angelos Georghiou, Wolfram Wiesemann, Angelos Tsoukalas, 2020, Oper. Res..

Scenario-Free Stochastic Programming

Daniel Kuhn, Wolfram Wiesemann, Angelos Georghiou, 2010 .

The decision rule approach to optimisation under uncertainty : theory and applications

Angelos Georghiou, 2013 .

Scalability through decentralization: A robust control approach for the energy management of a building community

John Lygeros, Annika Eichler, Roy S. Smith, 2017 .

Approximate Dynamic Programming: a $\mathcal{Q}$-Function Approach pdf

John Lygeros, Angelos Georghiou, Paul Beuchat, 2016, ArXiv.

Alleviating tuning sensitivity in Approximate Dynamic Programming

John Lygeros, Angelos Georghiou, Paul Beuchat, 2016, 2016 European Control Conference (ECC).