Approximate Dynamic Programming for Stochastic Resource Allocation Problems A Forootani, R Iervolino, M Tipaldi, N Joshua IEEE/CAA JOURNAL OF AUTOMATICA SINICA, 2020 | 33 | 2020 |
Model-based fault analysis of a high-voltage circuit breaker operating mechanism A Forootani, AA Afzalian, AN Ghohmshe Turkish Journal of Electrical Engineering and Computer Sciences 25 (3), 2349 …, 2017 | 22 | 2017 |
Modelling and solving resource allocation problems via a dynamic programming approach A Forootani, M Tipaldi, M Ghaniee Zarch, D Liuzza, L Glielmo International Journal of Control 94 (6), 1544-1555, 2019 | 18 | 2019 |
Transmission scheduling for multi-process multi-sensor remote estimation via approximate dynamic programming A Forootani, R Iervolino, M Tipaldi, S Dey Automatica 136 (110061), 2021 | 17 | 2021 |
Applying unweighted least‐squares based techniques to stochastic dynamic programming: theory and application A Forootani, R Iervolino, M Tipaldi IET Control Theory & Applications 13 (15), 2387-2398, 2019 | 17 | 2019 |
Circuit breaker coil modeling and operation monitoring using feature extraction A Forootani, AA Afzalian, A Melli IEEE PES Innovative Smart Grid Technologies, 1-6, 2012 | 11 | 2012 |
Allocating resources via price management systems: a dynamic programming based approach A Forootani, D Liuzza, M Tipaldi, L Glielmo International Journal of Control, 2019 | 8 | 2019 |
A stochastic dynamic programming approach for the machine replacement problem A Forootani, M Ghaniee Zarch, M Tipaldi, R Iervolino Engineering Applications of Artificial Intelligence 118, 2022 | 6 | 2022 |
A Least-Squares Temporal Difference based method for solving resource allocation problems A Forootani, M Tipaldi, M Ghaniee Zarch, D Liuzza, L Glielmo IFAC Journal of Systems and Control, 2020 | 5 | 2020 |
Enhanced Exploration Least-Squares Methods for Optimal Stopping Problems A Forootani, M Tipaldi, R Iervolino, D Subhrakanti IEEE Control System Letter, 2021 | 3 | 2021 |
Fault detection of gas unit of Gilan combined cycle power plant using neural network A Forootani, A Yazdizadeh, A Aliabadi The 3rd Conference on Thermal Power Plants, 1-5, 2011 | 3 | 2011 |
A Robust SINDy Approach by Combining Neural Networks and an Integral Form A Forootani, P Goyal, P Benner arXiv:2309.07193, 2023 | 2 | 2023 |
A Lyapunov-based version of the Value Iteration algorithm formulated as a discrete-time switched affine system R Iervolino, M tipaldi, A Forootani International Journal of Control, 2021 | 1 | 2021 |
Price management in resource allocation problem with approximate dynamic programming A Forootani, M Tipaldi, D Liuzza, L Glielmo 2018 European Control Conference (ECC), 851-856, 2018 | 1 | 2018 |
Robust control of gas unit of Gilan combined cycle power plant A Forootani, A Yazdizadeh, A Aliabadi, MT Mazini The 3rd Conference on Thermal Power Plants, 1-5, 2011 | 1 | 2011 |
GN-SINDy: Greedy Sampling Neural Network in Sparse Identification of Nonlinear Partial Differential Equations A Forootani, P Benner arXiv:2405.08613, 2024 | | 2024 |
GS-PINN: Greedy Sampling for Parameter Estimation in Partial Differential Equations A Forootani, H Kapadia, S Chellappa, P Goyal, P Benner arXiv:2405.08537, 2024 | | 2024 |
A kernel-based approximate dynamic programming approach: Theory and application A Forootani, R Iervolino, M Tipaldi, S Baccari Automatica 162, 2024 | | 2024 |
Transfer Learning-Based Framework Enhanced by Deep Generative Model for Cold-Start Forecasting of Residential EV Charging Behavior H Zareipour, A Forootani, M Rastegar, H Zareipour IEEE Transactions on Intelligent Vehicles 9 (1), 2024 | | 2024 |
Stochastic dynamic programming solution to transmission scheduling: Multi sensor-multi process with wireless noisy channel A Forootani, S Forootani, R Iervolino, M Ghaniee Zarch Computers and Electrical Engineering 106, 2023 | | 2023 |