Francesc Pozo (ORCID iD: 0000-0001-8958-6789)
Cited by
Cited by
Semiactive control methodologies for suspension control with magnetorheological dampers
M Zapateiro, F Pozo, HR Karimi, N Luo
IEEE/ASME Transactions on mechatronics 17 (2), 370-380, 2011
A Sensor Data Fusion System Based on k-Nearest Neighbor Pattern Classification for Structural Health Monitoring Applications
J Vitola, F Pozo, DA Tibaduiza, M Anaya
Sensors 17 (2), 417, 2017
A European Association for the Control of Structures joint perspective. Recent studies in civil structural control across Europe
B Basu, OS Bursi, F Casciati, S Casciati, AE Del Grosso, M Domaneschi, ...
Structural Control and Health Monitoring 21 (12), 1414-1436, 2014
A structural damage detection indicator based on principal component analysis and statistical hypothesis testing
LE Mújica, M Ruiz, F Pozo, J Rodellar, A Güemes
Smart materials and structures 23 (2), 025014, 2013
Wind turbine fault detection and classification by means of image texture analysis
M Ruiz, LE Mujica, S Alferez, L Acho, C Tutiven, Y Vidal, J Rodellar, ...
Mechanical Systems and Signal Processing 107, 149-167, 2018
Power control design for variable-speed wind turbines
Y Vidal, L Acho, N Luo, M Zapateiro, F Pozo
Energies 5 (8), 3033-3050, 2012
Wind turbine fault detection through principal component analysis and statistical hypothesis testing
F Pozo, Y Vidal
Energies 9 (1), 3, 2015
Hierarchical semi-active control of base-isolated structures using a new inverse model of magnetorheological dampers
A Bahar, F Pozo, L Acho, J Rodellar, A Barbat
Computers & structures 88 (7-8), 483-496, 2010
Adaptive backstepping control of hysteretic base-isolated structures
F Pozo, F Ikhouane, G Pujol, J Rodellar
Journal of Vibration and Control 12 (4), 373-394, 2006
Damage identification in structural health monitoring: A brief review from its implementation to the use of data-driven applications
DA Tibaduiza Burgos, RC Gomez Vargas, C Pedraza, D Agis, F Pozo
Sensors 20 (3), 733, 2020
Distributed piezoelectric sensor system for damage identification in structures subjected to temperature changes
J Vitola, F Pozo, DA Tibaduiza, M Anaya
Sensors 17 (6), 1252, 2017
Wind turbine multi-fault detection and classification based on SCADA data
Y Vidal, F Pozo, C Tutivén
Energies 11 (11), 3018, 2018
Parameter identification of large-scale magnetorheological dampers in a benchmark building
A Bahar, F Pozo, L Acho, J Rodellar, A Barbat
Computers & structures 88 (3-4), 198-206, 2010
Decentralised reliable guaranteed cost control of uncertain systems: an LMI design
G Pujol, J Rodellar, JM Rossell, F Pozo
IET Control Theory & Applications 1 (3), 779-785, 2007
A damage classification approach for structural health monitoring using machine learning
D Tibaduiza, MÁ Torres-Arredondo, J Vitola, M Anaya, F Pozo
Complexity 2018, 2018
Wind turbine condition monitoring strategy through multiway PCA and multivariate inference
F Pozo, Y Vidal, Ó Salgado
Energies 11 (4), 749, 2018
Robust active control of hysteretic base‐isolated structures: Application to the benchmark smart base‐isolated building
F Pozo, PM Montserrat, J Rodellar, L Acho
Structural Control and Health Monitoring: The Official Journal of the …, 2008
An isolation device for near‐fault ground motions
M Ismail, J Rodellar, F Pozo
Structural Control and Health Monitoring 21 (3), 249-268, 2014
A bioinspired methodology based on an artificial immune system for damage detection in structural health monitoring
M Anaya, DA Tibaduiza, F Pozo
Shock and Vibration 2015, 2015
Force‐derivative feedback semi‐active control of base‐isolated buildings using large‐scale MR fluid dampers
A Rodríguez, F Pozo, A Bahar, L Acho, Y Vidal, J Rodellar
Structural Control and Health Monitoring 19 (1), 120-145, 2012
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