Distributed coordination for economic dispatch with varying load and generator commitment. - Ashish Cherukuri; Jorge Cortés 001 (Allerton, 2014)

Distributed, anytime optimization in power-generator networks for economic dispatch. - Ashish Cherukuri; Sonia Martínez; Jorge Cortés 001 (ACC, 2014)

Asymptotic stability of saddle points under the saddle-point dynamics. - Ashish Cherukuri; Jorge Cortés 001 (ACC, 2015)

Distributed dynamic economic dispatch of power generators with storage. - Ashish Cherukuri; Jorge Cortés 001 (CDC, 2015)

Convergence of Caratheodory solutions for primal-dual dynamics in constrained concave optimization. - Ashish Cherukuri; Enrique Mallada; Jorge Cortés 001 (SIAM Conf. on Control and its Applications, 2015)

Distributed Generator Coordination for Initialization and Anytime Optimization in Economic Dispatch. - Ashish Cherukuri; Jorge Cortés 001 (IEEE Trans. Control. Netw. Syst., 2015)

Distributed algorithms for convex network optimization under non-sparse equality constraints. - Ashish Cherukuri; Jorge Cortés 001 (Allerton, 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 001 (Allerton, 2016)

Decentralized Nash equilibrium learning by strategic generators for economic dispatch. - Ashish Cherukuri; Jorge Cortés 001 (ACC, 2016)

Initialization-free distributed coordination for economic dispatch under varying loads and generator commitment. - Ashish Cherukuri; Jorge Cortés 001 (Autom., 2016)

Asymptotic convergence of constrained primal-dual dynamics. - Ashish Cherukuri; Enrique Mallada; Jorge Cortés 001 (Syst. Control. Lett., 2016)

Data-driven distributed optimization using Wasserstein ambiguity sets. - Ashish Cherukuri; Jorge Cortés 001 (Allerton, 2017)

Distributed coordination of power generators for a linearized optimal power flow problem. - Ashish Cherukuri; Alejandro D. Domínguez-García; Jorge Cortés 001 (ACC, 2017)

Decentralized Nash equilibrium seeking by strategic generators for DC optimal power flow. - Ashish Cherukuri; Jorge Cortés 001 (CISS, 2017)

Saddle-Point Dynamics: Conditions for Asymptotic Stability of Saddle Points. - Ashish Cherukuri; Bahman Gharesifard; Jorge Cortés 001 (SIAM J. Control. Optim., 2017)

Integrating Iterative Bidding in Electricity Markets and Frequency Regulation. - Tjerk Stegink; Ashish Cherukuri; Claudio De Persis; Arjan van der Schaft; Jorge Cortés 001 (ACC, 2018)

Distributed Coordination of DERs With Storage for Dynamic Economic Dispatch. - Ashish Cherukuri; Jorge Cortés 001 (IEEE Trans. Autom. Control., 2018)

The Role of Convexity in Saddle-Point Dynamics: Lyapunov Function and Robustness. - Ashish Cherukuri; Enrique Mallada; Steven H. Low; Jorge Cortés 001 (IEEE Trans. Autom. Control., 2018)

Data-Driven Chance Constrained Optimization under Wasserstein Ambiguity Sets. - Ashish Ranjan Hota; Ashish Cherukuri; John Lygeros (ACC, 2019)

Sample average approximation of CVaR-based Wardrop equilibrium in routing under uncertain costs. - Ashish Cherukuri (CDC, 2019)

Data-Driven Regret Minimization in Routing Games under Uncertainty. - Jonathan Dietrich; Ashish Ranjan Hota; Ashish Cherukuri (ECC, 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 001 (IEEE Trans. Control. Netw. Syst., 2019)

Nudging the Aggregative Behavior of Noncooperative Agents. - Mehran Shakarami; Ashish Cherukuri; Nima Monshizadeh (CDC, 2020)

Stochastic approximation for CVaR-based variational inequalities. - Jasper Verbree; Ashish Cherukuri (CDC, 2020)

Wasserstein Distributionally Robust Look-Ahead Economic Dispatch. - Bala Kameshwar Poolla; Ashish Ranjan Hota; Saverio Bolognani; Duncan S. Callaway; Ashish Cherukuri (CoRR, 2020)

Cooperative Data-Driven Distributionally Robust Optimization. - Ashish Cherukuri; Jorge Cortés 001 (IEEE Trans. Autom. Control., 2020)

Iterative Bidding in Electricity Markets: Rationality and Robustness. - Ashish Cherukuri; Jorge Cortés 001 (IEEE Trans. Netw. Sci. Eng., 2020)

Adaptive interventions for social welfare maximization in network games. - Mehran Shakarami; Ashish Cherukuri; Nima Monshizadeh (CDC, 2021)

Frequency-driven market mechanisms for optimal dispatch in power networks. - Ashish Cherukuri; Tjerk Stegink; Claudio De Persis; Arjan van der Schaft; Jorge Cortés 001 (Autom., 2021)

Inferring the prior in routing games using public signalling. - Jasper Verbree; Ashish Cherukuri (CoRR, 2021)

Consistency of Distributionally Robust Risk- and Chance-Constrained Optimization Under Wasserstein Ambiguity Sets. - Ashish Cherukuri; Ashish Ranjan Hota (IEEE Control. Syst. Lett., 2021)

Data-driven distributionally robust optimization over a network via distributed semi-infinite programming. - Ashish Cherukuri; Alireza Zolanvari; Goran Banjac; Ashish R. Hota (CDC, 2022)

Iterative Learning and Model Predictive Control for Repetitive Nonlinear Systems via Koopman Operator Approximation. - M. Bahadir Saltik; Bayu Jayawardhana; Ashish Cherukuri (CDC, 2022)

Data-driven distributionally robust iterative risk-constrained model predictive control. - Alireza Zolanvari; Ashish Cherukuri (ECC, 2022)

Near-optimal solutions of convex semi-infinite programs via targeted sampling. - Souvik Das; Ashwin Aravind; Ashish Cherukuri; Debasish Chatterjee (Ann. Oper. Res., 2022)

Steering the aggregative behavior of noncooperative agents: A nudge framework. - Mehran Shakarami; Ashish Cherukuri; Nima Monshizadeh (Autom., 2022)

A two-step approach to Wasserstein distributionally robust chance- and security-constrained dispatch. - Amin Maghami; Evrim Ursavas; Ashish Cherukuri (CoRR, 2022)

Cross apprenticeship learning framework: Properties and solution approaches. - Ashwin Aravind; Debasish Chatterjee; Ashish Cherukuri (CoRR, 2022)

Wasserstein Distributionally Robust Risk-Constrained Iterative MPC for Motion Planning: Computationally Efficient Approximations. - Alireza Zolanvari; Ashish Cherukuri (CDC, 2023)

Iterative risk-constrained model predictive control: A data-driven distributionally robust approach. - Alireza Zolanvari; Ashish Cherukuri (CoRR, 2023)

Wardrop equilibrium and Braess's paradox for varying demand. - Jasper Verbree; Ashish Cherukuri (CoRR, 2023)

Hierarchical optimization framework for network resource allocation under uncertainty. - Yifan Liu; Ashish Cherukuri (CDC, 2024)

Inferring the prior using public signalling in Bayesian persuasion routing games. - Jasper Verbree; Ashish Cherukuri (CDC, 2024)

Distributed alternating gradient descent for convex semi-infinite programs over a network. - Ashwin Aravind; Debasish Chatterjee; Ashish Cherukuri (CoRR, 2024)

Sample average approximation of conditional value-at-risk based variational inequalities. - Ashish Cherukuri (Optim. Lett., 2024)

Dynamic Interventions With Limited Knowledge in Network Games. - Mehran Shakarami; Ashish Cherukuri; Nima Monshizadeh (IEEE Trans. Control. Netw. Syst., 2024)