| 1 |
Machine learning-based model for lithium-ion batteries in BMS of electric/hybrid electric aircraft
Hashemi SR, Baghbadorani AB, Esmaeeli R, Mahajan A, Farhad S
International Journal of Energy Research, 45(4), 5747, 2021 |
| 2 |
Lithium-ion battery SOC/SOH adaptive estimation via simplified single particle model
Cen ZH, Kubiak P
International Journal of Energy Research, 44(15), 12444, 2020 |
| 3 |
Robust MPC with recursive model update
Lorenzen M, Cannon M, Allgower F
Automatica, 103, 461, 2019 |
| 4 |
Design of a self-tuning adaptive model predictive controller using recursive model parameter estimation for real-time plasma variable control
Koo J, Park D, Ryu S, Kim GH, Lee YW
Computers & Chemical Engineering, 123, 126, 2019 |
| 5 |
Field study on thermal comfort and energy saving potential in 11 split air-conditioned office buildings in Changsha, China
Wu ZB, Li NP, Wargocki P, Peng JQ, Li JM, Cui HJ
Energy, 182, 471, 2019 |
| 6 |
Plasma-insulin-cognizant adaptive model predictive control for artificial pancreas systems
Hajizadeh I, Rashid M, Cinar A
Journal of Process Control, 77, 97, 2019 |
| 7 |
Adaptive personalized multivariable artificial pancreas using plasma insulin estimates
Hajizadeh I, Rashid M, Samadi S, Sevil M, Hobbs N, Brandt R, Cinar A
Journal of Process Control, 80, 26, 2019 |
| 8 |
Adaptive model predictive control with propulsion load estimation and prediction for all-electric ship energy management
Hou J, Sun J, Hofmann H
Energy, 150, 877, 2018 |
| 9 |
An adaptive relationship of thermal comfort for the Gulf Cooperation Council (GCC) Countries: The case of offices in Qatar
Indraganti M, Boussaa D
Energy and Buildings, 159, 201, 2018 |
| 10 |
Residential adaptive comfort in a humid subtropical climate-Sydney Australia
de Dear R, Kim J, Parkinson T
Energy and Buildings, 158, 1296, 2018 |
