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ORCIDDaniel Ochoa 0002
Person information
- affiliation: University of California San Diego, Department of Electrical and Computer Engineering, CA, USA
- affiliation (former): University of Colorado, Department of Electrical, Computer and Energy Engineering, Boulder, CO, USA
Other persons with the same name
- Daniel Ochoa 0001
![[0000-0003-2707-7457]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2707-7457")
(aka: Daniel E. Ochoa 0001, Daniel Erick Ochoa Donoso) — Escuela Superior Politcnica del Litoral, Guayaquil, Ecuador (and 1 more)
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2020 – today
- 2025
[j9]Daniel E. Ochoa, Jorge I. Poveda:
Robust global optimization on smooth compact manifolds via hybrid gradient-free dynamics. Autom. 171: 111916 (2025)- 2024
- [j8]Daniel E. Ochoa, Nicolás Espitia, Jorge I. Poveda:
Prescribed-time stability in switching systems with resets: A hybrid dynamical systems approach. Syst. Control. Lett. 193: 105910 (2024) - [j7]Daniel E. Ochoa, Muhammad Umar Javed, Xudong Chen, Jorge I. Poveda:
Decentralized concurrent learning with coordinated momentum and restart. Syst. Control. Lett. 193: 105931 (2024) - [j6]Daniel E. Ochoa, Jorge I. Poveda:
Momentum-Based Nash Set-Seeking Over Networks via Multitime Scale Hybrid Dynamic Inclusions. IEEE Trans. Autom. Control. 69(7): 4245-4260 (2024) - [c6]Daniel Esteban Ochoa, Jorge I. Poveda:
Dynamic Gains for Transient-Behavior Shaping in Hybrid Dynamic Inclusions. CDC 2024: 7079-7084 - 2023
- [j5]Daniel E. Ochoa, Felipe Galarza-Jimenez, Felipe Wilches-Bernal, David A. Schoenwald, Jorge I. Poveda:
Control Systems for Low-Inertia Power Grids: A Survey on Virtual Power Plants. IEEE Access 11: 20560-20581 (2023) - [j4]Mahmoud Abdelgalil, Daniel E. Ochoa, Jorge I. Poveda:
Multi-time scale control and optimization via averaging and singular perturbation theory: From ODEs to hybrid dynamical systems. Annu. Rev. Control. 56: 100926 (2023) - [c5]Yilan Chen, Daniel E. Ochoa, Jason R. Marden, Jorge I. Poveda:
High-Order Decentralized Pricing Dynamics for Congestion Games: Harnessing Coordination to Achieve Acceleration. ACC 2023: 1086-1091 - 2022
- [j3]Daniel E. Ochoa, Jorge I. Poveda:
High-performance optimal incentive-seeking in transactive control for traffic congestion. Eur. J. Control 68: 100696 (2022) - [i1]Daniel Esteban Ochoa, Jorge I. Poveda:
Accelerated Continuous-Time Approximate Dynamic Programming via Data-Assisted Hybrid Control. CoRR abs/2204.12707 (2022) - 2021
- [j2]Daniel E. Ochoa, Jorge I. Poveda, César A. Uribe, Nicanor Quijano:
Robust Optimization Over Networks Using Distributed Restarting of Accelerated Dynamics. IEEE Control. Syst. Lett. 5(1): 301-306 (2021) - [c4]Daniel Esteban Ochoa, Jorge I. Poveda, César A. Uribe:
Computation-aware distributed optimization over networks: a hybrid dynamical systems approach. CAADCPS@CPSIoTWeek 2021: 18-19 - [c3]Daniel Esteban Ochoa, Jorge I. Poveda, Anantharam Subbaraman, Gerd S. Schmidt, Farshad R. Pour Safaei:
Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs. L4DC 2021: 866-878 - 2020
- [j1]Juan Martinez-Piazuelo, Daniel E. Ochoa, Nicanor Quijano, Luis Felipe Giraldo:
A Multi-Critic Reinforcement Learning Method: An Application to Multi-Tank Water Systems. IEEE Access 8: 173227-173238 (2020)
2010 – 2019
- 2019
- [c2]Daniel Ochoa, Gerardo Riaño-Briceño, Nicanor Quijano, Carlos Ocampo-Martinez:
Control of Urban Drainage Systems: Optimal Flow Control and Deep Learning in Action. ACC 2019: 4826-4831 - [c1]Daniel E. Ochoa, Jorge I. Poveda, César A. Uribe, Nicanor Quijano:
Hybrid Robust Optimal Resource Allocation with Momentum. CDC 2019: 3954-3959
Coauthor Index
aka: Jorge I. Poveda
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