Seguir
Kamran Sabahi
Kamran Sabahi
Otros nombresSabahi K, K Sabahi
Postdoc at Aalborg University and University of Mohaghegh Ardabili
Dirección de correo verificada de uma.ac.ir
Título
Citado por
Citado por
Año
Recurrent fuzzy neural network by using feedback error learning approaches for LFC in interconnected power system
K Sabahi, M Teshnehlab
Energy Conversion and Management 50 (4), 938-946, 2009
852009
Load frequency control in interconnected power system using modified dynamic neural networks
K Sabahi, MA Nekoui, M Teshnehlab, M Aliyari, M Mansouri
2007 Mediterranean conference on control & automation, 1-5, 2007
752007
Application of type-2 fuzzy logic system for load frequency control using feedback error learning approaches
K Sabahi, S Ghaemi, S Pezeshki
Applied Soft Computing 21, 1-11, 2014
702014
Load Frequency Control in Interconnected Power System Using Multi-Objective PID Controller
MTMA K. Sabahi, A. Sharifi, M. Aliyari Sh.
Journal of Applied Sciences 8 (20), 3676-3682, 2008
502008
Load frequency control in interconnected power system using multi-objective PID controller
A Sharifi, K Sabahi, MA Shoorehdeli, MA Nekoui, M Teshnehlab
Soft Computing in Industrial Applications, 2008. SMCia'08. IEEE Conference …, 2008
462008
Designing an adaptive type-2 fuzzy logic system load frequency control for a nonlinear time-delay power system
K Sabahi, S Ghaemi, M Badamchizadeh
Applied Soft Computing 43, 97-106, 2016
442016
Indirect predictive type-2 fuzzy neural network controller for a class of nonlinear input-delay systems
K Sabahi, S Ghaemi, J Liu, MA Badamchizadeh
ISA transactions 71, 185-195, 2017
202017
Recurrent fuzzy neural network for DC-motor control
A Faramarzi, K Sabahi
2011 Fifth International Conference on Genetic and Evolutionary Computing, 93-96, 2011
182011
Adaptive robust control of autonomous underwater vehicle
S Pezeshki, AR Ghiasi, MA Badamchizadeh, K Sabahi
Journal of Control, Automation and Electrical Systems 27, 250-262, 2016
172016
Adaptive type-2 fuzzy PID controller for LFC in AC microgrid
K Sabahi, M Tavan, A Hajizadeh
Soft Computing 25, 7423-7434, 2021
162021
Gain Scheduling Technique using MIMO Type-2 Fuzzy Logic System for LFC in Restructure Power System
K Sabahi, S Ghaemi, S Pezeshki
International Journal of Fuzzy Systems, 1-15, 2016
162016
Recognition COVID-19 cases using deep type-2 fuzzy neural networks based on chest X-ray image
K Sabahi, S Sheykhivand, Z Mousavi, M Rajabioun
Computational Intelligence in Electrical Engineering 14 (1), 75-92, 2023
152023
Overcoming the detectability obstacle in adaptive output feedback control of DC–DC boost converter with unknown load
M Tavan, K Sabahi, A Hajizadeh, MN Soltani, K Jessen
IEEE Transactions on Control Systems Technology 29 (6), 2678-2686, 2020
142020
Feedback error learning-based type-2 fuzzy neural network predictive controller for a class of nonlinear input delay systems
K Sabahi, S Ghaemi, MA Badamchizadeh
Transactions of the Institute of Measurement and Control 41 (13), 3651-3665, 2019
142019
Self-tuning fuzzy PID controller for load frequency control in AC micro-grid with considering of input delay
روح الله شاهدی, کامل صباحی, مهدی توان, امین حاجی زاده
روشهای هوشمند در صنعت برق 9 (35), 19-26, 2018
14*2018
Lyapunov–Krasovskii stable T2FNN controller for a class of nonlinear time-delay systems
S Ghaemi, K Sabahi, MA Badamchizadeh
Soft Computing 23 (4), 1407-1419, 2019
132019
A modified DNA-computing algorithm to solve TSP
K Mehdizadeh, MA Nekoui, K Sabahi, A Akbarimajd
2006 IEEE International Conference on Mechatronics, 65-68, 2006
112006
Adaptive fuzzy gain scheduling PID controller for frequency regulation in modern power system
P Razmi, T Rahimi, K Sabahi, M Gheisarnejad, MH Khooban
IET Renewable Power Generation, 2022
82022
Adaptive type-2 fuzzy PID LFC for an interconnected power system considering input time-delay
K Sabahi, A Hajizadeh, M Tavan, A Feliachi
International Journal of Fuzzy Systems 23 (4), 1042-1054, 2021
82021
Dynamic neural network for AGC in restructure power system
K Sabahi, E Narimani, A Faramarzi
2010 IEEE International Conference on Power and Energy, 594-599, 2010
72010
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20