Follow
Jorge I. Poveda
Title
Cited by
Cited by
Year
A framework for a class of hybrid extremum seeking controllers with dynamic inclusions
JI Poveda, AR Teel
Automatica 76, 113-126, 2017
1262017
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
772022
Robust Hybrid Zeroth-Order Optimization Algorithms with Acceleration via Averaging in Time
JI Poveda, N Li
Automatica 123, 2020
652020
Shahshahani gradient-like extremum seeking
JI Poveda, N Quijano
Automatica 58, 51-59, 2015
642015
Distributed extremum seeking for real-time resource allocation
J Poveda, N Quijano
2013 American Control Conference, 2772-2777, 2013
552013
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
542017
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
492019
Non-Smooth Extremum Seeking Control with User-Prescribed Convergence
JI Poveda, M Krstic
IEEE Transactions on Automatic Control, 10.1109/TAC.2021.3063700, 2021
47*2021
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
382023
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
362021
Hybrid mechanisms for robust synchronization and coordination of multi-agent networked sampled-data systems
JI Poveda, AR Teel
Automatica 99, 41-53, 2019
352019
Flexible Nash seeking using stochastic difference inclusions
JI Poveda, AR Teel, D Nešić
2015 American Control Conference (ACC), 2236-2241, 2015
332015
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
302022
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
302019
A shahshahani gradient based extremum seeking scheme
J Poveda, N Quijano
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 5104-5109, 2012
282012
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
272023
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
262018
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
242017
Distributed extremum seeking in multi-agent systems with arbitrary switching graphs
JI Poveda, M Benosman, AR Teel
IFAC-PapersOnLine 50 (1), 735-740, 2017
242017
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
232021
The system can't perform the operation now. Try again later.
Articles 1–20