Selami Beyhan
Selami Beyhan
Electrical and Electronics Engineering, Izmir Democracy University
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Handbook of neural computation
P Samui, SS Roy, VE Balas
Academic Press, 2017
Adolescent Identity Search Algorithm (AISA): A novel metaheuristic approach for solving optimization problems
E Bogar, S Beyhan
Applied Soft Computing 95, 106503, 2020
Fuzzy functions based ARX model and new fuzzy basis function models for nonlinear system identification
S Beyhan, M Alci
Applied Soft Computing 10 (2), 439-444, 2010
Runge–Kutta model-based nonlinear observer for synchronization and control of chaotic systems
S Beyhan
ISA transactions 52 (4), 501-509, 2013
Stable modeling based control methods using a new RBF network
S Beyhan, M Alcı
ISA transactions 49 (4), 510-518, 2010
Adaptive uncertainty compensation-based nonlinear model predictive control with real-time applications
M Çetin, B Bahtiyar, S Beyhan
Neural Computing and Applications 31, 1029-1043, 2019
Comprehensive modeling of U-tube steam generators using extreme learning machines
S Beyhan, K Kavaklioglu
IEEE Transactions on Nuclear Science 62 (5), 2245-2254, 2015
Affine TS fuzzy model-based estimation and control of Hindmarsh–Rose neuronal model
S Beyhan
IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (8), 2342-2350, 2017
Extended fuzzy function model with stable learning methods for online system identification
S Beyhan, M Alci
International Journal of Adaptive Control and Signal Processing 25 (2), 168-182, 2011
Takagi-Sugeno fuzzy observer and extended-Kalman filter for adaptive payload estimation
S Beyhan, Z Lendek, M Alcı, R Babuška
2013 9th Asian Control Conference (ASCC), 1-6, 2013
Adaptive fuzzy and sliding-mode control of a robot manipulator with varying payload
S Beyhan, Z Lendek, R Babuška, M Wisse, M Alcı
2011 50th IEEE Conference on Decision and Control and European Control …, 2011
Adaptive fuzzy terminal sliding-mode observer with experimental applications
S Beyhan
International Journal of Fuzzy Systems 18, 585-594, 2016
Symbolic Regression Based Extreme Learning Machine Models for System Identification
BEK Guzel, S Beyhan
Neural Processing Letters, 2021
Prediction of baking quality using machine learning based intelligent models
H Isleroglu, S Beyhan
Heat and Mass Transfer 56, 2045–2055, 2020
Adaptive fuzzy-Chebyshev network control of a conducting polymer actuator
S Beyhan, M Itik
Journal of Intelligent Material Systems and Structures 27 (8), 1019-1029, 2016
A novel online LS-SVM approach for regression and classification
E Dilmen, S Beyhan
IFAC-PapersOnLine 50 (1), 8642-8647, 2017
Adaptive stabilization of uncertain cortex dynamics under joint estimates and input constraints
M Çetin, S Beyhan
IEEE Transactions on Circuits and Systems II: Express Briefs 66 (4), 627-631, 2018
An enhanced online LS-SVM approach for classification problems
E Dilmen, S Beyhan
Soft Computing 22, 4457-4475, 2018
A new RBF network based sliding-mode control of nonlinear systems
S Beyhan, M Alci
2009 International Multiconference on Computer Science and Information …, 2009
Fuzzy Emulated Symbolic Regression for Modelling and Control of Markov Jump Systems With Unknown Transition Rates
S Beyhan
IEEE Transactions on Circuits and Systems II: Express Briefs 69 (3), 1352-1356, 2022
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