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Kamel Sabahi
Kamel Sabahi
Assistant Professor of Control Engineering, University of Mohaghegh Ardabili
Verified email at uma.ac.ir - Homepage
Title
Cited by
Cited by
Year
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
712007
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
612009
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
572014
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
492008
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
372016
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
372008
Recurrent Fuzzy Neural Network for DC-motor control
A Faramarzi, K Sabahi
2011 Fifth International Conference on Genetic and Evolutionary Computing, 93-96, 2011
172011
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
162018
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
152017
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
142016
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
112019
Adaptive robust control of autonomous underwater vehicle
S Pezeshki, AR Ghiasi, MA Badamchizadeh, K Sabahi
Journal of Control, Automation and Electrical Systems 27 (3), 250-262, 2016
112016
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
102006
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
92019
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
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
52020
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
52018
A Filtered Transformation via Dynamic Matrix to State and Parameter Estimation for a Class of Second Order Systems
M Tavan, K Sabahi, A Hajizadeh
International Journal of Control, Automation and Systems, 1-10, 2019
22019
Voltage control in smart grid using T2FLS
Y Khodayar, K Sabahi, A Hajizadeh
Smart Grid Conference (SGC), 2017, 1-5, 2017
22017
Application of ANN Technique for DC-Motor Control by Using FEL Approaches
K Sabahi
Genetic and Evolutionary Computing (ICGEC), 2011 Fifth International …, 2011
22011
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Articles 1–20