Ashish Cherukuri

According to our database, Ashish Cherukuri authored at least 43 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sample average approximation of conditional value-at-risk based variational inequalities.

Ashish Cherukuri

Optim. Lett., March, 2024

2023

Wardrop equilibrium and Braess's paradox for varying demand.

Jasper Verbree, Ashish Cherukuri

CoRR, 2023

Iterative risk-constrained model predictive control: A data-driven distributionally robust approach.

Alireza Zolanvari, Ashish Cherukuri

CoRR, 2023

Wasserstein Distributionally Robust Risk-Constrained Iterative MPC for Motion Planning: Computationally Efficient Approximations.

Alireza Zolanvari, Ashish Cherukuri

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Cross apprenticeship learning framework: Properties and solution approaches.

Ashwin Aravind, Debasish Chatterjee, Ashish Cherukuri

CoRR, 2022

A two-step approach to Wasserstein distributionally robust chance- and security-constrained dispatch.

Amin Maghami, Evrim Ursavas, Ashish Cherukuri

CoRR, 2022

Dynamic interventions with limited knowledge in network games.

Mehran Shakarami, Ashish Cherukuri, Nima Monshizadeh

CoRR, 2022

Steering the aggregative behavior of noncooperative agents: A nudge framework.

Mehran Shakarami, Ashish Cherukuri, Nima Monshizadeh

Autom., 2022

Near-optimal solutions of convex semi-infinite programs via targeted sampling.

Souvik Das, Ashwin Aravind, Ashish Cherukuri, Debasish Chatterjee

Ann. Oper. Res., 2022

Data-driven distributionally robust iterative risk-constrained model predictive control.

Alireza Zolanvari, Ashish Cherukuri

Proceedings of the European Control Conference, 2022

Iterative Learning and Model Predictive Control for Repetitive Nonlinear Systems via Koopman Operator Approximation.

M. Bahadir Saltik, Bayu Jayawardhana, Ashish Cherukuri

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Data-driven distributionally robust optimization over a network via distributed semi-infinite programming.

Ashish Cherukuri, Alireza Zolanvari, Goran Banjac, Ashish R. Hota

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Consistency of Distributionally Robust Risk- and Chance-Constrained Optimization Under Wasserstein Ambiguity Sets.

Ashish Cherukuri, Ashish Ranjan Hota

IEEE Control. Syst. Lett., 2021

Inferring the prior in routing games using public signalling.

Jasper Verbree, Ashish Cherukuri

CoRR, 2021

Frequency-driven market mechanisms for optimal dispatch in power networks.

Ashish Cherukuri, Tjerk Stegink, Claudio De Persis, Arjan van der Schaft, Jorge Cortés

Autom., 2021

Adaptive interventions for social welfare maximization in network games.

Mehran Shakarami, Ashish Cherukuri, Nima Monshizadeh

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Iterative Bidding in Electricity Markets: Rationality and Robustness.

Ashish Cherukuri, Jorge Cortés

IEEE Trans. Netw. Sci. Eng., 2020

Cooperative Data-Driven Distributionally Robust Optimization.

Ashish Cherukuri, Jorge Cortés

IEEE Trans. Autom. Control., 2020

Wasserstein Distributionally Robust Look-Ahead Economic Dispatch.

Bala Kameshwar Poolla, Ashish Ranjan Hota, Saverio Bolognani, Duncan S. Callaway, Ashish Cherukuri

CoRR, 2020

Stochastic approximation for CVaR-based variational inequalities.

Jasper Verbree, Ashish Cherukuri

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Nudging the Aggregative Behavior of Noncooperative Agents.

Mehran Shakarami, Ashish Cherukuri, Nima Monshizadeh

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Hybrid Interconnection of Iterative Bidding and Power Network Dynamics for Frequency Regulation and Optimal Dispatch.

Tjerk Stegink, Ashish Cherukuri, Claudio De Persis, Arjan van der Schaft, Jorge Cortés

IEEE Trans. Control. Netw. Syst., 2019

Data-Driven Regret Minimization in Routing Games under Uncertainty.

Jonathan Dietrich, Ashish Ranjan Hota, Ashish Cherukuri

Proceedings of the 17th European Control Conference, 2019

Sample average approximation of CVaR-based Wardrop equilibrium in routing under uncertain costs.

Ashish Cherukuri

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Data-Driven Chance Constrained Optimization under Wasserstein Ambiguity Sets.

Ashish Ranjan Hota, Ashish Cherukuri, John Lygeros

Proceedings of the 2019 American Control Conference, 2019

2018

The Role of Convexity in Saddle-Point Dynamics: Lyapunov Function and Robustness.

Ashish Cherukuri, Enrique Mallada, Steven H. Low, Jorge Cortés

IEEE Trans. Autom. Control., 2018

Distributed Coordination of DERs With Storage for Dynamic Economic Dispatch.

Ashish Cherukuri, Jorge Cortés

IEEE Trans. Autom. Control., 2018

Integrating Iterative Bidding in Electricity Markets and Frequency Regulation.

Tjerk Stegink, Ashish Cherukuri, Claudio De Persis, Arjan van der Schaft, Jorge Cortés

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Saddle-Point Dynamics: Conditions for Asymptotic Stability of Saddle Points.

Ashish Cherukuri, Bahman Gharesifard, Jorge Cortés

SIAM J. Control. Optim., 2017

Decentralized Nash equilibrium seeking by strategic generators for DC optimal power flow.

Ashish Cherukuri, Jorge Cortés

Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

Distributed coordination of power generators for a linearized optimal power flow problem.

Ashish Cherukuri, Alejandro D. Domínguez-García, Jorge Cortés

Proceedings of the 2017 American Control Conference, 2017

Data-driven distributed optimization using Wasserstein ambiguity sets.

Ashish Cherukuri, Jorge Cortés

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Asymptotic convergence of constrained primal-dual dynamics.

Ashish Cherukuri, Enrique Mallada, Jorge Cortés

Syst. Control. Lett., 2016

Initialization-free distributed coordination for economic dispatch under varying loads and generator commitment.

Ashish Cherukuri, Jorge Cortés

Autom., 2016

Decentralized Nash equilibrium learning by strategic generators for economic dispatch.

Ashish Cherukuri, Jorge Cortés

Proceedings of the 2016 American Control Conference, 2016

The role of strong convexity-concavity in the convergence and robustness of the saddle-point dynamics.

Ashish Cherukuri, Enrique Mallada, Steven H. Low, Jorge Cortés

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Distributed algorithms for convex network optimization under non-sparse equality constraints.

Ashish Cherukuri, Jorge Cortés

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

Distributed Generator Coordination for Initialization and Anytime Optimization in Economic Dispatch.

Ashish Cherukuri, Jorge Cortés

IEEE Trans. Control. Netw. Syst., 2015

Convergence of Caratheodory solutions for primal-dual dynamics in constrained concave optimization.

Ashish Cherukuri, Enrique Mallada, Jorge Cortés

Proceedings of the 2015 Proceedings of the Conference on Control and its Applications, 2015

Distributed dynamic economic dispatch of power generators with storage.

Ashish Cherukuri, Jorge Cortés

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Asymptotic stability of saddle points under the saddle-point dynamics.

Ashish Cherukuri, Jorge Cortés

Proceedings of the American Control Conference, 2015

2014

Distributed, anytime optimization in power-generator networks for economic dispatch.

Ashish Cherukuri, Sonia Martínez, Jorge Cortés

Proceedings of the American Control Conference, 2014

Distributed coordination for economic dispatch with varying load and generator commitment.

Ashish Cherukuri, Jorge Cortés

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014