| Online estimation of battery equivalent circuit model parameters and state of charge using decoupled least squares technique C Zhang, W Allafi, Q Dinh, P Ascencio, J Marco Energy 142, 678-688, 2018 | 321 | 2018 |
| A lumped thermal model of lithium-ion battery cells considering radiative heat transfer W Allafi, C Zhang, K Uddin, D Worwood, TQ Dinh, PA Ormeno, K Li, ... Applied Thermal Engineering 143, 472-481, 2018 | 46 | 2018 |
| Adaptive soft-sensors for on-line particle size estimation in wet grinding circuits D Sbarbaro, P Ascencio, P Espinoza, F Mujica, G Cortes Control Engineering Practice 16 (2), 171-178, 2008 | 45 | 2008 |
| Backstepping PDE design: A convex optimization approach P Ascencio, A Astolfi, T Parisini IEEE Transactions on automatic control 63 (7), 1943-1958, 2017 | 34 | 2017 |
| An adaptive fuzzy hybrid state observer for bioprocesses P Ascencio, D Sbarbaro, SF de Azevedo IEEE Transactions on Fuzzy Systems 12 (5), 641-651, 2004 | 30 | 2004 |
| Bayesian parameter estimation applied to the Li-ion battery single particle model with electrolyte dynamics A Aitio, SG Marquis, P Ascencio, D Howey IFAC-PapersOnLine 53 (2), 12497-12504, 2020 | 18 | 2020 |
| Adaptive observer for charge-state and crossover estimation in disproportionation redox flow batteries undergoing self-discharge P Ascencio, K Smith, CW Monroe, D Howey 2019 American Control Conference (ACC), 5452-5457, 2019 | 9 | 2019 |
| T., T. Parisini, T. Backstepping PDE Design: A Convex Optimization Approach P Ascencio, T Astolfi IEEE Trans. Automat. Control 63 (7), 1943-1958, 2018 | 9 | 2018 |
| An adaptive observer for a class of parabolic PDEs based on a convex optimization approach for backstepping PDE design P Ascencio, A Astolfi, T Parisini 2016 American Control Conference (ACC), 3429-3434, 2016 | 7 | 2016 |
| Backstepping PDE design, Volterra and Fredholm operators: A convex optimization approach P Ascencio, A Astolfi, T Parisini 2015 54th IEEE Conference on Decision and Control (CDC), 7048-7053, 2015 | 5 | 2015 |
| Adaptive observer design for parabolic partial differential equations P Ascencio Imperial College London, 2017 | 3 | 2017 |
| Backstepping PDE-based adaptive observer for a single particle model of lithium-ion batteries P Ascencio, A Astolfi, T Parisini 2016 IEEE 55th Conference on Decision and Control (CDC), 5623-5628, 2016 | 3 | 2016 |
| Discretisation-free battery fast-charging optimisation using the measure-moment approach NE Courtier, R Drummond, P Ascencio, LD Couto, DA Howey 2022 European Control Conference (ECC), 628-634, 2022 | 2 | 2022 |
| A Convex Optimization Approach for Backstepping PDE Design: Volterra and Fredholm Operators P Ascencio, A Astolfi, T Parisini arXiv preprint arXiv:1710.03723, 2017 | 1 | 2017 |
| Augmented State Observer for Simultaneous Estimation of Charge State and Crossover in Self-Discharging Disproportionation Redox Flow Batteries P Ascencio, K Smith, D Howey, CW Monroe 2019 IEEE Conference on Control Technology and Applications (CCTA), 481-486, 2019 | | 2019 |
| Online Characterization of Porous Separators for Disproportionation Redox Flow Batteries KP Smith, P Ascencio, DA Howey, CW Monroe Electrochemical Society Meeting Abstracts ecee2019, 182-182, 2019 | | 2019 |
| Real-Time Reservoir Balancing and Leak-Free Nonaqueous Cell Design for Flow Batteries KP Smith, DA Howey, P Ascencio, CW Monroe Electrochemical Society Meeting Abstracts 235, 455-455, 2019 | | 2019 |
| Property quantification for new flow-battery architectures using adaptive simulations C Monroe, K Smith, P Ascencio, D Howey ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 257, 2019 | | 2019 |
Walid AllafiWarwick UniversityVerified email at warwick.ac.uk
