| A framework for a class of hybrid extremum seeking controllers with dynamic inclusions JI Poveda, AR Teel Automatica 76, 113-126, 2017 | 146 | 2017 |
| Time-varying optimization of LTI systems via projected primal-dual gradient flows G Bianchin, J Cortes, JI Poveda, E Dall'Anese IEEE Transactions on Control of Network Systems, 2022 | 110 | 2022 |
| Fixed-Time Nash Equilibrium Seeking in Time-Varying Networks JI Poveda, M Krstic, T Basar IEEE Transactions on Automatic Control 68 (4), 1954 - 1969, 2023 | 84 | 2023 |
| Robust Hybrid Zeroth-Order Optimization Algorithms with Acceleration via Averaging in Time JI Poveda, N Li Automatica 123, 2020 | 74 | 2020 |
| Shahshahani gradient-like extremum seeking JI Poveda, N Quijano Automatica 58, 51-59, 2015 | 72 | 2015 |
| Non-Smooth Extremum Seeking Control with User-Prescribed Convergence JI Poveda, M Krstic IEEE Transactions on Automatic Control, 10.1109/TAC.2021.3063700, 2021 | 63* | 2021 |
| Control systems for low-inertia power grids: A survey on virtual power plants DE Ochoa, F Galarza-Jimenez, F Wilches-Bernal, DA Schoenwald, ... IEEE Access 11, 20560-20581, 2023 | 61 | 2023 |
| Distributed extremum seeking for real-time resource allocation J Poveda, N Quijano 2013 American Control Conference, 2772-2777, 2013 | 58 | 2013 |
| Robust Coordinated Hybrid Source Seeking with Obstacle Avoidance in Multi-Vehicle Autonomous Systems JI Poveda, M Benosman, AR Teel, RG Sanfelice IEEE Transactions on Automatic Control, 10.1109/TAC.2021.3056365, 2021 | 57 | 2021 |
| A robust event-triggered approach for fast sampled-data extremization and learning JI Poveda, AR Teel IEEE Transactions on Automatic Control 62 (10), 4949-4964, 2017 | 57 | 2017 |
| Hybrid online learning control in networked multiagent systems: A survey JI Poveda, M Benosman, AR Teel International Journal of Adaptive Control and Signal Processing 33 (2), 228-261, 2019 | 53 | 2019 |
| Hybrid mechanisms for robust synchronization and coordination of multi-agent networked sampled-data systems JI Poveda, AR Teel Automatica 99, 41-53, 2019 | 44 | 2019 |
| Online optimization of switched LTI systems using continuous-time and hybrid accelerated gradient flows G Bianchin, JI Poveda, E Dall’Anese Automatica 146, 110579, 2022 | 42 | 2022 |
| Inducing uniform asymptotic stability in non-autonomous accelerated optimization dynamics via hybrid regularization JI Poveda, N Li 2019 IEEE 58th Conference on Decision and Control (CDC), 3000-3005, 2019 | 37 | 2019 |
| Flexible Nash seeking using stochastic difference inclusions JI Poveda, AR Teel, D Nešić 2015 American Control Conference (ACC), 2236-2241, 2015 | 35 | 2015 |
| Data‐enabled extremum seeking: a cooperative concurrent learning‐based approach JI Poveda, M Benosman, KG Vamvoudakis International Journal of Adaptive Control and Signal Processing 35 (7), 1256 …, 2021 | 30 | 2021 |
| First-order optimization algorithms with resets and Hamiltonian flows AR Teel, JI Poveda, J Le 2019 IEEE 58th Conference on Decision and Control (CDC), 5838-5843, 2019 | 29 | 2019 |
| A hybrid adaptive feedback law for robust obstacle avoidance and coordination in multiple vehicle systems JI Poveda, M Benosman, AR Teel, RG Sanfelice 2018 Annual American Control Conference (ACC), 616-621, 2018 | 29 | 2018 |
| A shahshahani gradient based extremum seeking scheme J Poveda, N Quijano 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 5104-5109, 2012 | 29 | 2012 |
| A class of distributed adaptive pricing mechanisms for societal systems with limited information JI Poveda, PN Brown, JR Marden, AR Teel 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1490-1495, 2017 | 27 | 2017 |
Andrew R. TeelProfessor of Electrical and Computer Engineering, University of California, Santa BarbaraVerified email at ece.ucsb.edu
