Book Chapters, Monographs, and Patents

[M1] PhD. Thesis: "Robust Hybrid Systems for Control, Learning, and Optimization in Networked Dynamical Systems", University of California, Santa Barbara, 2018.

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

[BC1] 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.

Journal Papers

[J33] J. Barreiro-Gomez, J. I. Poveda,  "Recurrent-Neural-Network (RNN) ODE Output for Classification Problems Follows the Replicator Dynamics", under review.

[J32] D. Ochoa, J. I. Poveda,  "Prescribed-Time Concurrent Learning with Switching Datasets", under review.

[J31] J. Barreiro-Gomez, J. I. Poveda,  "Decentralized Laplacian Gradient Flows with Vanishing Anchors for Resource Allocation Problems with Arbitrary Initialization", under review.

[J30] M. Abdelgalil, J. I. Poveda,  "On Lie-Bracket Averaging for a Class of Hybrid Dynamical Systems with Applications to Model-Free Control and Optimization", under review.

[J29] 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", under review.

[J28] D. Ochoa, N. Espitia, J. I. Poveda,  "Prescribed-Time Control in Switched Systems with Resets: A Hybrid Dynamical Systems Approach", under review.

[J27] D. Ochoa, U. Javed, X. Chen,  J. I. Poveda,  "Decentralized Hybrid Systems with Momentum and Resets: Robust Stability in Asymmetric Graphs", under review.

[J26] Xin Chen, J. I. Poveda, N. Li, "Continuous-Time Zeroth-Order Dynamics with Projection Maps: Model-Free Feedback Optimization with Safety Guarantees", under review.

[J25] D. Ochoa and J. I. Poveda,  "Model-Free Optimization on Smooth Compact Manifolds: Overcoming Topological Obstructions via Zeroth-Order Hybrid Dynamics", under review.

[J24] 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, 2023, to appear.

[J23] 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, pp.1-12, 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, 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, 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,  2022 [pdf]

[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, 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, [pdf]

[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, 2021.[pdf]

[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 [pdf].

[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.  [pdf]

[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. [pdf]

[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. [pdf]

[J10] 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]

[J9] J. I. Poveda and Na Li, "Robust Hybrid Zero-Order Optimization Algorithms with Acceleration via Averaging in Continuous Time", Automatica, Vol 123, 2021. [pdf]

[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. [pdf]

[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. [pdf]

[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. [pdf]

[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. [pdf]

[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. [pdf]

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

[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

[C45]  J. I. Poveda, "Averaging Theory for a Class of Stochastic Hybrid Dynamical Systems with Oscillating Vector Fields", IEEE Conference on Decision and Control, to appear, 2023. 

[C44]  V. Shenoy, J. I. Poveda, "A Framework for Decentralized Equilibrium Seeking in Networked Sampled-Data Games using Hybrid Control Tools", in Proceedings of 22nd IFAC World Congress, pp. 5580-5585, 2023.

[C43]  J. I. Poveda, "Singularly Perturbed Stochastic Hybrid Systems: Stability and Recurrence via Composite Nonsmooth Lyapunov Functions", in Proceedings of 22nd IFAC World Congress, pp. 10350-10355, 2023.

[C42]  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.

[C41] F. Galarza, J. I. Poveda, E. Dall'Anese, "Feedback-Based Optimization of Power Systems: Resilience under Attacks", IEEE Conference on Decision and Control, 2022, [pdf].

[C40] E. Mojica, J. I. Poveda, N. Quijano, "Stackelberg Population Learning Dynamics", IEEE Conference on Decision and Control, 2022.

[C39] 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, Morocco, 2022.

[C38]  D. Ochoa and J. I. Poveda,  "High-Performance Optimal Incentive Seeking for Transactive Control of Traffic Congestion", European Control Conference, London, UK, to appear, 2022.

[C37]  F. Galarza, J. I. Poveda, E. Dall'Anese,  "Sliding-Seeking Control: Model-Free Optimization with Safety Constraints", Proceedings of The 4th Annual Learning for Dynamics and Control Conference, 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, to appear, 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, to appear, 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, appeared online, 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, appeared online, 2021 [Best Student Paper Award Finalist].

[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, appeared online, 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, Proceedings of Machine Learning Research vol 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", IEEE Conference on Decision and Control, 2020, pp. 3514-3519. [pdf]

[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. [pdf]

[C27] J. I. Poveda and M. Krstic, "Fixed-Time Newton-Like Extremum Seeking", IFAC World Congress, 2020. [pdf]

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

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

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

[C23] A. R. Teel and J. I. Poveda, "First-Order Optimization Algorithms with Resets and Hamiltonian flows", IEEE Conference on Decision and Control, 2019. [pdf]

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

[C21] J. I. Poveda, K. Vamvoudakis, M. Benosman, "DEES: A Class of Data-Enabled Robust Feedback Algorithms for Real-Time Optimization", IFAC-Papers OnLine, Vol. 52, Issue 16, 2019, pp. 670-675, ISSN: 2405-8963. [pdf]

[C20] M. Baradaran, J. I. Poveda, A. R. Teel, "Global Optimization on the Sphere: A Stochastic Hybrid Systems Approach", IFAC-Papers Online, Vol 52, Issue 16, 2019, pp. 96-101, ISSN: 2405-8963. [pdf]

[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, 2018, pp. 2235-2240. [pdf]

[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, 2018, pp. 6538-6543.

[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, 2018, pp. 616-621. [pdf]

[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 [Best Student Paper Award Finalist], Melbourne, Australia, 2017, pp. 1490-1495. [pdf]

[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, 2017, pp. 2985-2990. [pdf]

[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, 2017, pp. 542-547. [pdf]

[C13] J. I. Poveda, M. Benosman, and A. R. Teel, "Distributed Extremum Seeking in Multi-Agent Systems with Arbitrary Switching Graphs", IFAC-Papers Online, Vol. 50, Issue 1, 2017, pp. 735-760, ISSN: 2405-8963. [pdf]

[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, 2016, pp. 401-406. [pdf]

[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, 2016, pp. 2364-2369. 

[C10] J. I. Poveda and A. R. Teel, "A Hybrid Systems Approach for Distributed Nonsmooth Optimization in Asynchronous Multi-Agent Sampled-Data Systems", IFAC-Papers OnLine, Vol. 49, Issue 18, 2016, pp. 152-157. [pdf]

[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, 2015, pp. 5474 - 5479. [pdf]

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

[C7] A. R. Teel and J. I. Poveda, "A Hybrid Systems Approach to Global Synchronization and Coordination of Multi-Agent Sampled-Data Systems", IFAC-Papers OnLine, Vol. 48, Issue 27, 2015, pp. 123-128, ISSN: 2405-8963. [pdf]

[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, 2014, pp. 3463-3468.

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

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

[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, 2012, pp. 44-50.

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

[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, 2012, pp. 1-21.