Takip et
Kamran Sabahi
Kamran Sabahi
Diğer adlarKamel Sabahi, K Sabahi
University of Mohaghegh Ardabili
uma.ac.ir üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
882008
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
782009
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
732007
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
652014
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
402016
Frequency management strategies for local power generation network
MK Saini, R Dhiman, AN Prasad, R Kumar, S Saini
International Journal on Future Revolution in Computer Science …, 2018
202018
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
182017
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
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
172016
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
142023
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
142018
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
132019
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
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
122020
Adaptive type-2 fuzzy PID controller for LFC in AC microgrid
K Sabahi, M Tavan, A Hajizadeh
Soft Computing 25, 7423-7434, 2021
112021
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
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
82010
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
52021
Adaptive T2FPID controller for load frequency control in a nonlinear time-delay power system
K Sabahi, M Tavan, A Hajizadeh
COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN …, 2021
52021
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