PUBLICATIONS

JOURNAL PAPERS

Under Review:

Published:

[J29] P. Serna-Torre, V. Shenoy, D. Schoenwald, J. I. Poveda, P. Hidalgo-Gonzalez, "Non-Cooperative Games to Control Learned Inverter Dynamics of Distributed Energy Resources",  Electric Power Systems Research, 2024, to appear.

[J28] V. Shenoy, P. Serna-Torre, D. Schoenwald, P. Hidalgo-Gonzalez, J. I. Poveda, "Fast Frequency Regulation of Virtual Power Plants via Hybrid Reset Control", Electric Power Systems Research, 2024, to appear.

[J27] J. Barreiro-Gomez, J. I. Poveda,  "Recurrent-Neural-Network ODE Output for Classification Problems Follows the Replicator Dynamics", IEEE Control Systems Letters, Vol .7., pp. 3783-3788, Dec. 2023.

[J26] J. Barreiro-Gomez, J. I. Poveda,  "Decentralized Laplacian Gradient Flows with Vanishing Anchors for Resource Allocation Problems with Arbitrary Initialization", IEEE Control Systems Letters, Vol. 7, pp. 3747 - 3752, Dec. 2023.

[J25] U. Javed, J. I. Poveda, Xudong Chen, "A Stochastic Binary Vertex-Triggering Resetting Algorithm for Global Synchronization of Pulse-Coupled Oscillators", IEEE Transactions on Control of Network Systems, Vol. 10, Issue 4, pp.1707-1719, Dec. 2023.

[J24] M. Abdelgalil, D. Ochoa, 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, Vol. 56, pp. 100926, Nov. 2023.

[J23] D. Ochoa and J. I. Poveda,  "Momentum-Based Nash Set-Seeking over Networks via Multi-Time Scale Hybrid Inclusions", IEEE Transactions on Automatic Control, pp. 1-16,  DOI: 10.1109/TAC.2023.3321901, 2023.

[J22] J. I. Poveda, M. Krstic and T. Basar, "Fixed-Time Nash Equilibrium Seeking in Time-Varying Networks", IEEE Transactions on Automatic Control, vol 68, No 4, pp. 1954-1969, Apr. 2023.

[J21] D. Ochoa, F. Galarza, D. Schoenwald, F. Wilches-Bernal, and J. I. Poveda,  "Control Systems for Low-Inertia Power Grids: A Survey on Virtual Power Plants", IEEE Access, Vol. 11, No. pp. 20560-20581, Feb. 2023.

[J20] D. Ochoa and J. I. Poveda,  "High-Performance Optimal Incentive Seeking for Transactive Control of Traffic Congestion", European Journal of Control, Vol. 68, Nov. 2022.  

[J19] G. Bianchin, J. I. Poveda, and E. Dall'Anese, "Feedback Optimization of Switched Linear Systems via Continuous-Time and Hybrid Accelerated Gradient Flows",  Automatica, Vol 146,  Dec. 2022 

[J18] G. Bianchin, E. Dall'Anese, J. I. Poveda, A. Buchwald, "Novel Use of Online Optimization in a Mathematical Model of COVID-19 to Guide the Relaxation of Pandemic Mitigation Measures", Vol. 12, No. 4732, Nature Scientific Reports, Mar. 2022.

[J17] F. Galarza-Jimenez, G. Bianchin,  J. I. Poveda, E. Dall'Anese, "Online Optimization of LTI Systems Under Persistent Attacks: Stability, Tracking, and Robustness",  Nonlinear Analysis: Hybrid Systems, Vol. 44, pp. 1-23, 2022. [pdf]

[J16] J. I. Poveda, M. Benosman, A. R. Teel, and R. G. Sanfelice, "Coordinated Hybrid Source Seeking with Robust Obstacle Avoidance in Multi-vehicle Autonomous Systems", IEEE Transactions on Automatic Control,  Vol. 67, No. 2, pp. 706-721, 2022, 

[J15] J. I. Poveda and M. Krstic, "Non-Smooth Extremum Seeking Control with User-Prescribed Convergence", IEEE Transactions on Automatic Control,  Vol 66, No. 12, pp. 6156-6163, 2021.

[J14] G. Bianchin, J. Cortes, J. I. Poveda, E. Dall'Anese, "Time-Varying Optimization of LTI Systems via Projected Primal-Dual Gradient Flows",  IEEE Transactions on Control of Network Systems, 2021, appeared online 

[J13] U. Javed, J. I. Poveda, and Xudong Chen, "Scalable Resetting Algorithms for Synchronization of Pulse-Coupled Oscillators over Rooted Directed Graphs", Automatica, Vol. 132, 2021. 

[J12] F. Galarza-Jimenez, J. I. Poveda, G. Bianchin, E. Dall'Anese, "Extremum Seeking Under Persistent Gradient Deception: A Switching Systems Approach",  IEEE Control Systems Letters, Vol. 6, pp. 133-138, 2021, appeared online.

[J11] U. Javed, J. I. Poveda, and Xudong. Chen, "Excitation Conditions for Uniform Exponential Stability of the Cooperative Gradient Algorithm over Weakly Connected Digraphs",  IEEE Control Systems Letters, Vol. 6, pp. 67-72, 2021. 

[J10] J. I. Poveda and Na Li, "Robust Hybrid Zero-Order Optimization Algorithms with Acceleration via Averaging in Continuous Time", Automatica, Vol 123, 2021.

[J9] D. Ochoa, J. I. Poveda, C. Uribe, and N. Quijano "Robust Accelerated Optimization on Networks via Distributed Restarting of Nesterov's-like ODE",  IEEE Control Systems Letters, Vol 5,  2021. [Extended Technical Report]

[J8] J. I. Poveda, M. Benosman, and K. Vamvoudakis, "Data-Enabled Extremum Seeking: A Cooperative Concurrent Learning-Based Approach", International Journal of Adaptive Control and Signal Processing, Vol. 35, Issue 7, 2021, ISSN 1099-1115.

[J7]  J. I. Poveda, M. Benosman, and A. R. Teel, "Hybrid Online Learning Control in Networked Multi-Agent Systems: A Survey", International Journal of Adaptive Control and Signal Processing, Volume 33, Issue 2, pp. 228-261, 2019, ISSN:1099-1115.

[J6] J. I. Poveda and A. R. Teel, "Hybrid Mechanisms for Robust Synchronization and Coordination of Networked Multi-Agent Sampled-Data Systems", Automatica, Volume 99, 2019, pp. 41-53. 

[J5] J. I. Poveda and A. R. Teel, "A Robust Event-Triggered Approach for Fast Sampled Data Extremization and Learning", IEEE Transactions on Automatic Control, Volume 62, Number 10, 2017, pp. 4949-4964.

[J4] J. I. Poveda and A. R. Teel, "A Framework for a Class of Hybrid Extremum Seeking Controllers with Dynamic Inclusions", Automatica, Volume 76, 2017, pp. 113-126. [pdf]

[J3] G. Obando, J. I. Poveda, and N. Quijano, "Replicator dynamics under perturbations and time-delays", Mathematics of Controls, Signals and Systems, Volume 28, Issue 3, 2016, pp. 1-32.

[J2] J. I. Poveda and N. Quijano, "Shahshahani gradient-like extremum seeking", Automatica, Volume 58, 2015, pp. 51-59.

[J1] A. Avila, J. Poveda, L. Gomez, D. Hotza and J. Escobar, "Characterization of SOFCS: A Crystallographic Analysis and First Steps towards an Impedance Spectroscopy Approach", Materials Science Forum, Volume 727, 2012, pp. 769-774.

CONFERENCE PAPERS

Under Review:

Published:

[C47] A. Aghajan, M. Jimenez, J. I. Poveda, Michael Ropp,  "Adaptive Under-Frequency Load Shedding with Socio-Technical Criticality Functions",  IEEE Kansas Power and Energy Conference, to appear, 2024.

[C46] D. Ochoa, J. I. Poveda,  "Prescribed-Time Concurrent Learning with Switching Datasets", 8th IFAC Conference on Analysis and Design of Hybrid Systems, Boulder, CO, to appear, 2024.

[C45] M. Tang, M. Krstic, J. I. Poveda, "On Fixed-Time Stability for a Class of Singularly Perturbed Systems using Composite Lyapunov functions", American Control Conference, to appear, 2024. 

[C44]  J. I. Poveda, "Averaging for a Class of Stochastic Hybrid Dynamical Systems with Time-Varying Flow Maps", 62nd IEEE Conference on Decision and Control,  pp. 1886-1890, 2023, [pdf]. 

[C43]  V. Shenoy, J. I. Poveda, "A Framework for Decentralized Equilibrium Seeking in Networked Sampled-Data Games using Hybrid Control Tools", 22nd IFAC World Congress, pp. 5580-5585, 2023.

[C42]  J. I. Poveda, "Singularly Perturbed Stochastic Hybrid Systems: Stability and Recurrence via Composite Nonsmooth Lyapunov Functions", 22nd IFAC World Congress, pp. 10350-10355, 2023, [pdf].

[C41]  Y. Chen, D. Ochoa, J. Marden, J. I. Poveda, "High-Order Decentralized Pricing Dynamics for Congestion Games: Harnessing Coordination to Achieve Acceleration", American Control Conference, pp. 1086-1091, 2023.

[C40] F. Galarza, J. I. Poveda, E. Dall'Anese, "Feedback-Based Optimization of Power Systems: Resilience under Attacks", 61st IEEE Conference on Decision and Control, pp. 7103-7108, 2022, [pdf].

[C39] E. Mojica, J. I. Poveda, N. Quijano, "Stackelberg Population Learning Dynamics", 61st IEEE Conference on Decision and Control, pp. 6395-6400, 2022.

[C38] D. Ochoa and J. I. Poveda, "Accelerated Continuous-Time Approximate Dynamic Programming via Data-Assisted Hybrid Control", 14th IFAC International Workshop on Adaptive and Learning Control Systems (ALCOS), Morocco, pp. 561-566, 2022.

[C37]  F. Galarza, J. I. Poveda, E. Dall'Anese,  "Sliding-Seeking Control: Model-Free Optimization with Safety Constraints", The 4th Annual Learning for Dynamics and Control Conference (L4DC), PMLR 168:1100-1111.

[C36] J. I. Poveda, M. Krstic, and T. Basar, "Fixed-Time Seeking and Tracking of Time-Varying Nash Equilibria in Noncooperative Games", American Control Conference, Atlanta, USA, pp/ 794-799, 2022.

[C35] A. Murillo and J. I. Poveda, "Data-Assisted Vision-Based Hybrid Control for Robust Stabilization with Obstacle Avoidance via Learning of Perception Maps", American Control Conference, Atlanta, USA, pp. 886-892, 2022.

[C34]  J. I. Poveda and M. Krstic,  "Fixed-Time Seeking and Tracking of Time-Varying Extrema", 60th IEEE Conference on Decision and Control, Austin, TX, USA, pp. 108-113, 2021.

[C33]  Xin Chen, J. I. Poveda, and Na Li,  "Safe Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods", 60th IEEE Conference on Decision and Control, Austin, TX, USA, pp. 4064-4070, 2021.

[C32]  F. Galarza, J. I. Poveda, R. Kutadinata, L. Zhang, E. Dall'Anese,  "Self-Optimizing Traffic Light Control using Hybrid Accelerated Extremum Seeking Algorithms", 60th IEEE Conference on Decision and Control,  Austin, TX, USA, pp. 1941-1946, 2021.

[C31] D. Ochoa, J. I. Poveda, A. Subbaraman, G. Schmidt and F. Pour-Safaei, "Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Non-smooth ODEs", Learning for Dynamics and Control Conference (L4DC), PMLR 144:1–13, 2021. [pdf with proofs]

[C30] J. I. Poveda, M. Krstic and T. Basar, "Fixed-Time Nash Equilibrium Seeking in Non-Cooperative Games", 59th IEEE Conference on Decision and Control, 2020, pp. 3514-3519.

[C29] J. I. Poveda and A. R. Teel, "The Heavy-Ball ODE with Time-Varying Damping: Persistence of Excitation and Uniform Asymptotic Stability", American Control Conference, pp. 773-778, 2020. [pdf]

[C28] J. I. Poveda and M. Krstic, "Gradient-Based Fixed-Time Extremum Seeking", American Control Conference, pp. 2838-2843, 2020.

[C27] J. I. Poveda and M. Krstic, "Fixed-Time Newton-Like Extremum Seeking", 21st IFAC World Congress, pp. 5356-5361, 2020. 

[C26] J. I. Poveda and N.Li, "Inducing Uniform Asymptotic Stability in Time-Varying Accelerated Optimization Dynamics via Hybrid Regularization", 58th IEEE Conference on Decision and Control, pp. 3000-3005, Dec. 2019.

[C25] J. I. Poveda, K. Vamvoudakis, M. Benosman, "CODES: Cooperative Data-Enabled Extremum Seeking for Multi-Agent Systems",  58th IEEE Conference on Decision and Control, pp. 2988-2989, Dec. 2019

[C24] D. Ochoa, J. I. Poveda, C. Uribe, N. Quijano, "Robust Hybrid Optimal Resource Allocation with Momentum", 58th IEEE Conference on Decision and Control, pp. 3954-3959, Dec. 2019.

[C23] A. R. Teel, J. Le,  J. I. Poveda, "First-Order Optimization Algorithms with Resets and Hamiltonian flows", 58th IEEE Conference on Decision and Control, pp. 5838-5843, Dec. 2019. 

[C22] M. U. Javed, J. I. Poveda, and X. Chen, "Global Synchronization of Clocks in Directed Rooted Acyclic Graphs: A Hybrid Systems Approach", 58th IEEE Conference on Decision and Control, pp. 5838-5843, Dec. 2019.

[C21] J. I. Poveda, K. Vamvoudakis, M. Benosman, "DEES: A Class of Data-Enabled Robust Feedback Algorithms for Real-Time Optimization", 11th IFAC Symposium on Nonlinear Control Systems (NOLCOS), Vol. 52, Issue 16, pp. 670-675, Sep. 2019.

[C20] M. Baradaran, J. I. Poveda, A. R. Teel, "Global Optimization on the Sphere: A Stochastic Hybrid Systems Approach", 11th IFAC Symposium on Nonlinear Control Systems (NOLCOS), Vol 52, Issue 16, pp. 96-101,  Sep. 2019

[C19] J. I. Poveda, R. Kutadinata, C. Manzie, D. Nesic, A. R. Teel, C. Liao, "Hybrid Extremum Seeking for Black-Box Optimization in Hybrid Plants: An Analytical Framework", 57th IEEE Conference on Decision and Control, Miami, FL, pp. 2235-2240, Dec. 2018.

[C18] M. Baradaran, J. I. Poveda, A. R. Teel, "Stochastic Hybrid Inclusions Applied to Global Almost Sure Optimization on Manifolds", 57th IEEE Conference on Decision and Control, Miami, FL, pp. 6538-6543, Dec. 2018.

[C17] J. I. Poveda, M. Benosman, A. R. Teel, and R. G. Sanfelice, "A Hybrid Adaptive Feedback Law for Robust Obstacle Avoidance and Coordination in Multiple Vehicle Systems", American Control Conference, Milwaukee, WI, pp. 616-621, July 2018.

[C16] J. I. Poveda, P. N. Brown, J. R. Marden and A. R. Teel, "A Class of Distributed Adaptive Pricing Mechanisms for Societal Systems with Limited Information", 56th IEEE Conference on Decision and Control, Melbourne, Australia, pp. 1490-1495, Dec. 2017.

[C15] T. Strizic, J. I. Poveda, and A. R. Teel, "Hybrid Gradient Descent for Robust Global Optimization on the Circle", 56th IEEE Conference on Decision and Control, Melbourne, Australia, pp. 2985-2990, Dec. 2017.

[C14] J. I. Poveda, K. G. Vamvoudakis, M. Benosman, "A Neuro-Adaptive Architecture for Extremum Seeking Control Using Hybrid Learning Dynamics", American Control Conference, Seattle, WA, pp. 542-547, May 2017.

[C13] J. I. Poveda, M. Benosman, and A. R. Teel, "Distributed Extremum Seeking in Multi-Agent Systems with Arbitrary Switching Graphs", 20th IFAC World Congress, Vol. 50, Issue 1, pp. 735-760, July 2017.

[C12] J. I. Poveda and A. R. Teel, "Distributed Robust Stochastic Learning in Asynchronous Networks of Sampled-Data Systems", 55th IEEE Conference on Decision and Control, Las Vegas, NV, pp. 401-406, Dec. 2016.

[C11] S. Bruggemann, C. Possieri, J. I. Poveda, and A. R. Teel, "Robust Constrained Model Predictive Control with Persistent Model Adaptation", 55th IEEE Conference on Decision and Control, Las Vegas, NV, pp. 2364-2369, Dec. 2016.

[C10] J. I. Poveda and A. R. Teel, "A Hybrid Systems Approach for Distributed Nonsmooth Optimization in Asynchronous Multi-Agent Sampled-Data Systems", 10th IFAC Symposium on Nonlinear Control (NOLCOS), Vol. 49, Issue 18, pp. 152-157, August 2016.

[C9] J. I. Poveda and A. R. Teel, "Event-Triggered Based On-Line Optimization for a Class of Nonlinear Systems", 54th IEEE Conference on Decision and Control, Osaka, Japan, pp. 5474 - 5479, Dec. 2015.

[C8]  J. I. Poveda, A. R. Teel, D. Nesic, "Flexible Nash seeking using stochastic difference inclusions", American Control Conference, Chicago, USA, pp. 2236-224, July 2015.

[C7] A. R. Teel and J. I. Poveda, "A Hybrid Systems Approach to Global Synchronization and Coordination of Multi-Agent Sampled-Data Systems", 5th  IFAC Conference on Analysis and Design of Hybrid Systems, Vol. 48, Issue 27, pp. 123-128, ISSN: 2405-8963, May 2015.

[C6] J. I. Poveda and A. R. Teel, "A hybrid seeking approach for robust learning in multi-agent systems", 53rd IEEE Conference on Decision and Control, Los Angeles, USA,  pp. 3463-3468, Dec. 2014.

[C5] J. Poveda and N. Quijano, "Extremum seeking for multi-population games", 52nd IEEE Conference on Decision and Control, Florence, Italy, pp. 409 - 414, Dec. 2013

[C4] J. Poveda and N. Quijano, "Distributed extremum seeking for real-time resource allocation", American Control Conference, Washington D.C., USA, pp. 2772 - 2777, July 2013.

[C3] J. Poveda and N. Quijano, "Dynamic bandwidth allocation in wireless networks using a Shahshahani gradient based extremum seeking control", International Conference on Network Games, Control and Optimization (NETGCOOP), Avignon, France, pp. 44-50, October 2012.

[C2] J. Poveda and N. Quijano, "A Shahshahani Gradient Based Extremum Seeking Scheme", 51st IEEE Conference on Decision and Control, Maui, HI, pp. 5104-5109, Dec. 2012.

[C1] J. Poveda, Nicolas Ochoa-Lleras and Carlos F. Rodrguez, "Guidance of an Autonomous Glider Based on Proportional Navigation and Virtual Targets: A Hybrid Dynamical Systems Approach", AIAA Guidance, Navigation and Control Conference, Minneapolis, MN, pp. 1-21, Sep. 2012.

PATENTS AND BOOK CHAPTERS

[P1] M. Benosman and J. I. Poveda, "Robust Source Seeking and Formation Learning-based Controller", US Patent 10,915,108 B2.

[B1] J. I. Poveda and A. R. Teel, "A Hybrid Dynamical Systems Perspective on Reinforcement Learning for Cyber-Physical Systems: Vistas, Open Problems, and Challenges", Handbook on Reinforcement Learning and Control, Springer, 2021.