Segui
Jorge I. Poveda
Titolo
Citata da
Citata da
Anno
A framework for a class of hybrid extremum seeking controllers with dynamic inclusions
JI Poveda, AR Teel
Automatica 76, 113-126, 2017
1292017
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
802022
Shahshahani gradient-like extremum seeking
JI Poveda, N Quijano
Automatica 58, 51-59, 2015
672015
Robust Hybrid Zeroth-Order Optimization Algorithms with Acceleration via Averaging in Time
JI Poveda, N Li
Automatica 123, 2020
662020
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
Non-Smooth Extremum Seeking Control with User-Prescribed Convergence
JI Poveda, M Krstic
IEEE Transactions on Automatic Control, 10.1109/TAC.2021.3063700, 2021
49*2021
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
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
402023
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
372021
Hybrid mechanisms for robust synchronization and coordination of multi-agent networked sampled-data systems
JI Poveda, AR Teel
Automatica 99, 41-53, 2019
372019
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
322022
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
312023
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
312019
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
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
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
252019
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
252017
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
242021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20