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ORCIDKemal Uçak
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Books and Theses
- 2016
[b1]Kemal Uçak:
Support vector regression based controller design methods for nonlinear systems (Lineer olmayan sistemler için destek vektör regresyon tabanlı kontrolör tasarım metodları). İstanbul Technical University, Turkey, 2016
Journal Articles
- 2024
- [j13]Kemal Uçak
, Gülay Öke Günel:
Adaptive stable backstepping controller based on support vector regression for nonlinear systems. Eng. Appl. Artif. Intell. 129: 107533 (2024) - 2023
- [j12]Muhammet Emre Sanci, Kemal Uçak, Gülay Öke Günel:
A Novel Adaptive LSSVR-Based Inverse Optimal Controller With Integrator for Nonlinear Non-Affine Systems. IEEE Access 11: 137548-137576 (2023) - 2021
- [j11]Kemal Uçak, Gülay Öke Günel:
Model-free MIMO self-tuning controller based on support vector regression for nonlinear systems. Neural Comput. Appl. 33(22): 15731-15750 (2021) - [j10]Kemal Uçak, Gülay Öke Günel:
Online Support Vector Regression Based Adaptive NARMA-L2 Controller for Nonlinear Systems. Neural Process. Lett. 53(1): 405-428 (2021) - [j9]Kemal Uçak:
A novel adaptive Runge-Kutta controller for nonlinear dynamical systems. Soft Comput. 25(16): 10915-10933 (2021) - 2020
- [j8]Kemal Uçak:
A Novel Model Predictive Runge-Kutta Neural Network Controller for Nonlinear MIMO Systems. Neural Process. Lett. 51(2): 1789-1833 (2020) - [j7]Kemal Uçak, Gülay Öke Günel:
An adaptive sliding mode controller based on online support vector regression for nonlinear systems. Soft Comput. 24(6): 4623-4643 (2020) - 2019
- [j6]Kemal Uçak, Gülay Öke Günel:
Model free adaptive support vector regressor controller for nonlinear systems. Eng. Appl. Artif. Intell. 81: 47-67 (2019) - [j5]Kemal Uçak:
A Runge-Kutta neural network-based control method for nonlinear MIMO systems. Soft Comput. 23(17): 7769-7803 (2019) - 2018
- [j4]Kemal Uçak, Ilker Üstoglu, Gülay Öke Günel:
Safety-Critical Support Vector Regressor Controller for Nonlinear Systems. Neural Process. Lett. 48(1): 419-440 (2018) - 2017
- [j3]Kemal Uçak, Gülay Öke Günel:
Generalized self-tuning regulator based on online support vector regression. Neural Comput. Appl. 28(S-1): 775-801 (2017) - 2016
- [j2]Kemal Uçak, Gülay Öke Günel:
A Novel Adaptive NARMA-L2 Controller Based on Online Support Vector Regression for Nonlinear Systems. Neural Process. Lett. 44(3): 857-886 (2016) - [j1]Kemal Uçak, Gülay Öke Günel:
An adaptive support vector regressor controller for nonlinear systems. Soft Comput. 20(7): 2531-2556 (2016)
Conference and Workshop Papers
- 2020
- [c6]Kemal Uçak, Gülay Öke Günel:
Adaptive Sliding Mode Control based on SVR. UEMCON 2020: 381-386 - 2015
- [c5]Kemal Uçak, Gülay Öke Günel:
Design of an Adaptive Support Vector Regressor Controller for a Spherical Tank System. ICONIP (3) 2015: 1-8 - 2013
- [c4]Emre Sariyildiz, Kemal Ucak, Kouhei Ohnishi, Gülay Öke, Hakan Temeltas:
Intelligent systems based solutions for the kinematics problem of the industrial robot arms. ASCC 2013: 1-6 - [c3]Kemal Ucak, Gülay Öke Günel:
RBF neural network controller based on OLSSVR. ASCC 2013: 1-6 - 2011
- [c2]Kemal Ucak, Gülay Öke:
An Improved Adaptive PID Controller Based on Online LSSVR with Multi RBF Kernel Tuning. ICAIS 2011: 40-51 - [c1]Emre Sariyildiz, Kemal Ucak, Gülay Öke, Hakan Temeltas:
A Trajectory Tracking Application of Redundant Planar Robot Arm via Support Vector Machines. ICAIS 2011: 192-202
Coauthor Index
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