Publications
Publications
[R3] D. E. Ochoa, and R. G. Sanfelice "On Non-Euclidean Contraction Theory for Constrained Differential Inclusions". submitted. 2025.
[R2] Piyush P. Jirwankar, D. E. Ochoa, and R. G. Sanfelice "Geometric Hybrid Dynamical Systems on Intrinsic Manifolds Part II: The Invariance Principle". submitted. 2025.
[R1] D. E. Ochoa, J.I. Poveda "Prescribed-Time and Hyperexponential Concurrent Learning with Partially Corrupted Datasets: A Hybrid Dynamical Systems Approach", submitted to Nonlinear Analysis: Hybrid Systems, 2025.
[J9] D. E. Ochoa, and J. I. Poveda "Robust Global Optimization on Smooth Compact Manifolds via Hybrid Gradient-Free Dynamics". Automatica. 2025.
[J8] D. E. Ochoa, M. U. Javed, X. Chen, and J. I. Poveda "Decentralized Concurrent Learning with Momentum and Restart". System and Control Letters, 2024.
[J7] D. E. Ochoa, N. Espitia, and J. I. Poveda "Prescribed-Time Control in Switched Systems with Resets: A Hybrid Dynamical Systems Approach". System and Control Letters, 2024.
[J6] M. Abdelgalil, D. E. Ochoa, and J. I. Poveda "Multi-Time Scale Control and Optimization via Singular Perturbations and Averaging Theory: From ODEs to Hybrid Dynamical Systems". Annual Reviews in Control. 2023.
[J5] D. E. Ochoa, and J. I. Poveda "Momentum-Based Nash Set Seeking over Networks via Multi-Time Scale Hybrid Dynamic Inclusions". IEEE Transactions on Automatic Control. 2023.
[J4] D. E. Ochoa, F. Galarza-Jimenez, F. Wilches-Bernal, D. Schoenwald, J. I. Poveda "Control Systems for Low-Inertia Power Grids: A Survey on Virtual Power Plants". IEEE Access. 2023.
[J3] D. E. Ochoa, and J. I. Poveda "High-Performance Optimal Incentive Seeking for Transactive Control of Traffic Congestion". European Journal of Control, Vol. 68. 2022.
[J2] J. Martinez-Piazuelo, D. E. Ochoa, N. Quijano, and L. F. Giraldo "A Multi-Critic Reinforcement Learning Method: An Application to Multi-Tank Water Systems". IEEE Access. 2021.
[J1] D. E. Ochoa, J. I. Poveda, Uribe, C. A., and N. Quijano "Robust optimization over networks using distributed restarting of accelerated dynamics". IEEE Control Systems Letters, Vol. 5. 2020.
[C9] D. E. Ochoa, M. Abdelgalil, J. I. Poveda, "On The Instability of Nesterov's ODE under Non-conservative Vector Fields". IFAC Workshop on Nonlinear Control (NOLCOS), 2025, to appear.
[C8] C. Zhang, R. Talonia, D. E. Ochoa, J. I. Poveda, "Deep Source-Seekers with Obstacle Avoidance: Adaptive Hybrid Control with Vision Transformers", 7th Learning for Dynamics and Control Conference, 2025, to appear.
[C7] D.E. Ochoa, J. I. Poveda, "Dynamic Gains for Asymptotic-Behavior Shaping in Hybrid Dynamic Inclusions", Conference on Decision and Control (CDC), To appear, 2024.
[C6] D. E. Ochoa, J. I. Poveda, "Prescribed-Time Concurrent Learning with Switching Datasets", 8th IFAC Conference on Analysis and Design of Hybrid Systems, 2024.
[C5] Y. Chen, D. E. Ochoa, J. R. Marden, and J. I. Poveda "High-Order Decentralized Pricing Dynamics for Congestion Games: Harnessing Coordination to Achieve Acceleration". American Control Conference (ACC). 2023.
[C4] D. E. Ochoa and J. I. Poveda "Accelerated Continuous-Time Approximate Dynamic Programming via Data-Assisted Hybrid Control". 14th IFAC workshop and Adaptive and Learning Control Systems (ALCOS). 2022.
[C3] D. E. Ochoa, J. I. Poveda, A. Subbaraman, G. S. Schmidt and F. R. Pour-Safaei "Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs". 3rd Conference on Learning for Dynamics and Control (L4DC). 2021.
[C2] D. E. Ochoa, J. I. Poveda, C. A. Uribe, and N. Quijano "Hybrid robust optimal resource allocation with momentum". Conference on Decision and Control (CDC). 2019.
[C1] D. E. Ochoa, G. Riano-Briceno, N. Quijano, and C. Ocampo-Martinez "Control of Urban Drainage Systems: Optimal Flow Control and Deep Learning in Action". American Control Conference (ACC). 2019.