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ORCIDAshish Cherukuri
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2020 – today
- 2024
[j15]Ashish Cherukuri
:
Sample average approximation of conditional value-at-risk based variational inequalities. Optim. Lett. 18(2): 471-496 (2024)- [j14]Mehran Shakarami, Ashish Cherukuri, Nima Monshizadeh:
Dynamic Interventions With Limited Knowledge in Network Games. IEEE Trans. Control. Netw. Syst. 11(3): 1153-1164 (2024) - [i17]Ashwin Aravind, Debasish Chatterjee, Ashish Cherukuri:
Distributed alternating gradient descent for convex semi-infinite programs over a network. CoRR abs/2408.11937 (2024) - 2023
- [c23]Alireza Zolanvari, Ashish Cherukuri:
Wasserstein Distributionally Robust Risk-Constrained Iterative MPC for Motion Planning: Computationally Efficient Approximations. CDC 2023: 2022-2029 - [i16]Alireza Zolanvari, Ashish Cherukuri:
Iterative risk-constrained model predictive control: A data-driven distributionally robust approach. CoRR abs/2308.11510 (2023) - [i15]Alireza Zolanvari, Ashish Cherukuri:
Wasserstein distributionally robust risk-constrained iterative MPC for motion planning: computationally efficient approximations. CoRR abs/2310.04141 (2023) - [i14]Jasper Verbree, Ashish Cherukuri:
Wardrop equilibrium and Braess's paradox for varying demand. CoRR abs/2310.04256 (2023) - 2022
- [j13]Souvik Das, Ashwin Aravind, Ashish Cherukuri, Debasish Chatterjee:
Near-optimal solutions of convex semi-infinite programs via targeted sampling. Ann. Oper. Res. 318(1): 129-146 (2022) - [j12]Mehran Shakarami, Ashish Cherukuri, Nima Monshizadeh:
Steering the aggregative behavior of noncooperative agents: A nudge framework. Autom. 136: 110003 (2022) - [c22]M. Bahadir Saltik, Bayu Jayawardhana, Ashish Cherukuri:
Iterative Learning and Model Predictive Control for Repetitive Nonlinear Systems via Koopman Operator Approximation. CDC 2022: 3059-3065 - [c21]Ashish Cherukuri, Alireza Zolanvari, Goran Banjac, Ashish R. Hota:
Data-driven distributionally robust optimization over a network via distributed semi-infinite programming. CDC 2022: 4771-4775 - [c20]Alireza Zolanvari, Ashish Cherukuri:
Data-driven distributionally robust iterative risk-constrained model predictive control. ECC 2022: 1578-1583 - [i13]Mehran Shakarami, Ashish Cherukuri, Nima Monshizadeh:
Dynamic interventions with limited knowledge in network games. CoRR abs/2205.15673 (2022) - [i12]Amin Maghami, Evrim Ursavas, Ashish Cherukuri:
A two-step approach to Wasserstein distributionally robust chance- and security-constrained dispatch. CoRR abs/2208.07642 (2022) - [i11]Ashish Cherukuri, Alireza Zolanvari, Goran Banjac, Ashish R. Hota:
Data-driven distributionally robust optimization over a network via distributed semi-infinite programming. CoRR abs/2208.10321 (2022) - [i10]Ashish Cherukuri:
Sample Average Approximation of Conditional Value-at-risk based Variational Inequalities. CoRR abs/2208.11403 (2022) - [i9]Ashwin Aravind, Debasish Chatterjee, Ashish Cherukuri:
Cross apprenticeship learning framework: Properties and solution approaches. CoRR abs/2209.02424 (2022) - 2021
- [j11]Ashish Cherukuri, Tjerk Stegink, Claudio De Persis, Arjan van der Schaft, Jorge Cortés:
Frequency-driven market mechanisms for optimal dispatch in power networks. Autom. 133: 109861 (2021) - [j10]Ashish Cherukuri, Ashish Ranjan Hota:
Consistency of Distributionally Robust Risk- and Chance-Constrained Optimization Under Wasserstein Ambiguity Sets. IEEE Control. Syst. Lett. 5(5): 1729-1734 (2021) - [c19]Ashish Cherukuri, Ashish Ranjan Hota:
Consistency of Distributionally Robust Risk- and Chance-Constrained Optimization under Wasserstein Ambiguity Sets. ACC 2021: 3818-3823 - [c18]Mehran Shakarami, Ashish Cherukuri, Nima Monshizadeh:
Adaptive interventions for social welfare maximization in network games. CDC 2021: 942-947 - [i8]Jasper Verbree, Ashish Cherukuri:
Inferring the prior in routing games using public signalling. CoRR abs/2109.05895 (2021) - [i7]Alireza Zolanvari, Ashish Cherukuri:
Data-driven distributionally robust iterative risk-constrained model predictive control. CoRR abs/2111.12977 (2021) - 2020
- [j9]Ashish Cherukuri, Jorge Cortés:
Cooperative Data-Driven Distributionally Robust Optimization. IEEE Trans. Autom. Control. 65(10): 4400-4407 (2020) - [j8]Ashish Cherukuri, Jorge Cortés:
Iterative Bidding in Electricity Markets: Rationality and Robustness. IEEE Trans. Netw. Sci. Eng. 7(3): 1265-1281 (2020) - [c17]Jasper Verbree, Ashish Cherukuri:
Stochastic approximation for CVaR-based variational inequalities. CDC 2020: 2216-2221 - [c16]Mehran Shakarami, Ashish Cherukuri, Nima Monshizadeh:
Nudging the Aggregative Behavior of Noncooperative Agents. CDC 2020: 2579-2584 - [i6]Bala Kameshwar Poolla, Ashish Ranjan Hota, Saverio Bolognani, Duncan S. Callaway, Ashish Cherukuri:
Wasserstein Distributionally Robust Look-Ahead Economic Dispatch. CoRR abs/2003.04874 (2020) - [i5]Mehran Shakarami, Ashish Cherukuri, Nima Monshizadeh:
Steering the aggregative behavior of noncooperative agents: a nudge framework. CoRR abs/2012.06376 (2020) - [i4]Ashish Cherukuri, Ashish Ranjan Hota:
Consistency of Distributionally Robust Risk- and Chance-Constrained Optimization under Wasserstein Ambiguity Sets. CoRR abs/2012.08850 (2020)
2010 – 2019
- 2019
- [j7]Tjerk Stegink, Ashish Cherukuri, Claudio De Persis, Arjan van der Schaft, Jorge Cortés:
Hybrid Interconnection of Iterative Bidding and Power Network Dynamics for Frequency Regulation and Optimal Dispatch. IEEE Trans. Control. Netw. Syst. 6(2): 572-585 (2019) - [c15]Ashish Ranjan Hota, Ashish Cherukuri, John Lygeros:
Data-Driven Chance Constrained Optimization under Wasserstein Ambiguity Sets. ACC 2019: 1501-1506 - [c14]Ashish Cherukuri:
Sample average approximation of CVaR-based Wardrop equilibrium in routing under uncertain costs. CDC 2019: 3164-3169 - [c13]Jonathan Dietrich, Ashish Ranjan Hota, Ashish Cherukuri:
Data-Driven Regret Minimization in Routing Games under Uncertainty. ECC 2019: 1702-1707 - [i3]Ashish Cherukuri:
Sample average approximation of CVaR-based Wardrop equilibrium in routing under uncertain costs. CoRR abs/1909.03783 (2019) - 2018
- [j6]Ashish Cherukuri, Jorge Cortés:
Distributed Coordination of DERs With Storage for Dynamic Economic Dispatch. IEEE Trans. Autom. Control. 63(3): 835-842 (2018) - [j5]Ashish Cherukuri, Enrique Mallada, Steven H. Low, Jorge Cortés:
The Role of Convexity in Saddle-Point Dynamics: Lyapunov Function and Robustness. IEEE Trans. Autom. Control. 63(8): 2449-2464 (2018) - [c12]Tjerk Stegink, Ashish Cherukuri, Claudio De Persis, Arjan van der Schaft, Jorge Cortés:
Integrating Iterative Bidding in Electricity Markets and Frequency Regulation. ACC 2018: 6182-6187 - [i2]Ashish Ranjan Hota, Ashish Cherukuri, John Lygeros:
Data-Driven Chance Constrained Optimization under Wasserstein Ambiguity Sets. CoRR abs/1805.06729 (2018) - 2017
- [j4]Ashish Cherukuri, Bahman Gharesifard, Jorge Cortés:
Saddle-Point Dynamics: Conditions for Asymptotic Stability of Saddle Points. SIAM J. Control. Optim. 55(1): 486-511 (2017) - [c11]Ashish Cherukuri, Jorge Cortés:
Data-driven distributed optimization using Wasserstein ambiguity sets. Allerton 2017: 38-44 - [c10]Ashish Cherukuri, Alejandro D. Domínguez-García, Jorge Cortés:
Distributed coordination of power generators for a linearized optimal power flow problem. ACC 2017: 3962-3967 - [c9]Ashish Cherukuri, Jorge Cortés:
Decentralized Nash equilibrium seeking by strategic generators for DC optimal power flow. CISS 2017: 1-6 - [i1]Ashish Cherukuri, Jorge Cortés:
Iterative bidding in electricity markets: rationality and robustness. CoRR abs/1702.06505 (2017) - 2016
- [j3]Ashish Cherukuri, Jorge Cortés:
Initialization-free distributed coordination for economic dispatch under varying loads and generator commitment. Autom. 74: 183-193 (2016) - [j2]Ashish Cherukuri, Enrique Mallada, Jorge Cortés:
Asymptotic convergence of constrained primal-dual dynamics. Syst. Control. Lett. 87: 10-15 (2016) - [c8]Ashish Cherukuri, Jorge Cortés:
Distributed algorithms for convex network optimization under non-sparse equality constraints. Allerton 2016: 452-459 - [c7]Ashish Cherukuri, Enrique Mallada, Steven H. Low, Jorge Cortés:
The role of strong convexity-concavity in the convergence and robustness of the saddle-point dynamics. Allerton 2016: 504-510 - [c6]Ashish Cherukuri, Jorge Cortés:
Decentralized Nash equilibrium learning by strategic generators for economic dispatch. ACC 2016: 1082-1087 - 2015
- [j1]Ashish Cherukuri, Jorge Cortés:
Distributed Generator Coordination for Initialization and Anytime Optimization in Economic Dispatch. IEEE Trans. Control. Netw. Syst. 2(3): 226-237 (2015) - [c5]Ashish Cherukuri, Jorge Cortés:
Asymptotic stability of saddle points under the saddle-point dynamics. ACC 2015: 2020-2025 - [c4]Ashish Cherukuri, Jorge Cortés:
Distributed dynamic economic dispatch of power generators with storage. CDC 2015: 2365-2370 - [c3]Ashish Cherukuri, Enrique Mallada, Jorge Cortés:
Convergence of Caratheodory solutions for primal-dual dynamics in constrained concave optimization. SIAM Conf. on Control and its Applications 2015: 290-296 - 2014
- [c2]Ashish Cherukuri, Jorge Cortés:
Distributed coordination for economic dispatch with varying load and generator commitment. Allerton 2014: 475-482 - [c1]Ashish Cherukuri, Sonia Martínez, Jorge Cortés:
Distributed, anytime optimization in power-generator networks for economic dispatch. ACC 2014: 172-177
Coauthor Index
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