Control of Urban Drainage Systems: Optimal Flow Control and Deep Learning in Action. - Daniel Ochoa 002; Gerardo Riaño-Briceño; Nicanor Quijano; Carlos Ocampo-Martinez (ACC, 2019)

Hybrid Robust Optimal Resource Allocation with Momentum. - Daniel E. Ochoa 002; Jorge I. Poveda; César A. Uribe; Nicanor Quijano (CDC, 2019)

A Multi-Critic Reinforcement Learning Method: An Application to Multi-Tank Water Systems. - Juan Martinez-Piazuelo; Daniel E. Ochoa 002; Nicanor Quijano; Luis Felipe Giraldo (IEEE Access, 2020)

Computation-aware distributed optimization over networks: a hybrid dynamical systems approach. - Daniel Esteban Ochoa; Jorge I. Poveda; César A. Uribe (CAADCPS@CPSIoTWeek, 2021)

Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs. - Daniel Esteban Ochoa; Jorge I. Poveda; Anantharam Subbaraman; Gerd S. Schmidt; Farshad R. Pour Safaei (L4DC, 2021)

Robust Optimization Over Networks Using Distributed Restarting of Accelerated Dynamics. - Daniel E. Ochoa 002; Jorge I. Poveda; César A. Uribe; Nicanor Quijano (IEEE Control. Syst. Lett., 2021)

Accelerated Continuous-Time Approximate Dynamic Programming via Data-Assisted Hybrid Control. - Daniel Esteban Ochoa; Jorge I. Poveda (CoRR, 2022)

High-performance optimal incentive-seeking in transactive control for traffic congestion. - Daniel E. Ochoa 002; Jorge I. Poveda (Eur. J. Control, 2022)

High-Order Decentralized Pricing Dynamics for Congestion Games: Harnessing Coordination to Achieve Acceleration. - Yilan Chen 004; Daniel E. Ochoa 002; Jason R. Marden; Jorge I. Poveda (ACC, 2023)

Control Systems for Low-Inertia Power Grids: A Survey on Virtual Power Plants. - Daniel E. Ochoa 002; Felipe Galarza-Jimenez; Felipe Wilches-Bernal; David A. Schoenwald; Jorge I. Poveda (IEEE Access, 2023)

Multi-time scale control and optimization via averaging and singular perturbation theory: From ODEs to hybrid dynamical systems. - Mahmoud A. M. AbdelGalil; Daniel E. Ochoa 002; Jorge I. Poveda (Annu. Rev. Control., 2023)

On Hybrid Prescribed-Time Concurrent Learning with Switching Datasets. - Daniel E. Ochoa 002; Jorge I. Poveda (ADHS, 2024)

Dynamic Gains for Transient-Behavior Shaping in Hybrid Dynamic Inclusions. - Daniel Esteban Ochoa; Jorge I. Poveda (CDC, 2024)

Prescribed-time stability in switching systems with resets: A hybrid dynamical systems approach. - Daniel E. Ochoa 002; Nicolás Espitia; Jorge I. Poveda (Syst. Control. Lett., 2024)

Decentralized concurrent learning with coordinated momentum and restart. - Daniel E. Ochoa 002; Muhammad Umar Javed; Xudong Chen 002; Jorge I. Poveda (Syst. Control. Lett., 2024)

Momentum-Based Nash Set-Seeking Over Networks via Multitime Scale Hybrid Dynamic Inclusions. - Daniel E. Ochoa 002; Jorge I. Poveda (IEEE Trans. Autom. Control., 2024)

Deep Source-Seekers with Obstacle Avoidance: Adaptive Hybrid Control with Transformers In-The-Loop. - Xiyuan Zhang; Daniel Ochoa 002; Regina Talonia; Jorge Poveda (L4DC, 2025)

Robust global optimization on smooth compact manifolds via hybrid gradient-free dynamics. - Daniel E. Ochoa 002; Jorge I. Poveda (Autom., 2025)