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Chekib Ghorbel
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2020 – today
- 2022
- [j6]Chekib Ghorbel, Naceur Benhadj Braiek:
Nonfragile H∞ tracking control strategies for classes of linear and bilinear uncertain Takagi-Sugeno fuzzy systems. Trans. Inst. Meas. Control 44(11): 2166-2176 (2022) - 2021
- [j5]Zeineb Rayouf, Chekib Ghorbel, Naceur Benhadj Braiek:
Nonfragile H ∞ Stabilizing Nonlinear Systems Described by Multivariable Hammerstein Models. Complex. 2021: 8833768:1-8833768:12 (2021) - [j4]Chekib Ghorbel, Zeineb Rayouf, Naceur Benhadj Braiek:
Robust stabilization and tracking control schemes for disturbed multi-input multi-output Hammerstein model in presence of approximate polynomial nonlinearities. J. Syst. Control. Eng. 235(7) (2021) - [c5]Chekib Ghorbel, Naceur Benhadj Braiek:
PPDC Design-Based $H_{\infty}$ Non-Fragile Controller for a Class of Bilinear Systems. SSD 2021: 1302-1307 - [c4]Chekib Ghorbel, Naceur Benhadj Braiek:
Robust H∞ State-Feedback Stabilization for T-S Fuzzy Bilinear Systems: Application to a CSTR Process. ICCAD 2021: 1-6 - 2020
- [j3]Chekib Ghorbel, Amira Tiga, Naceur Benhadj Braiek:
Proportional PDC Design-Based Robust Stabilization and Tracking Control Strategies for Uncertain and Disturbed T-S Model. Complex. 2020: 8910132:1-8910132:9 (2020) - [c3]Chekib Ghorbel, Zeineb Rayouf, Sobhi Ben Abdallah, Naceur Benhadj Braiek:
A Nonlinear PID Control Design for Block-Oriented Nonlinear Models. SSD 2020: 1003-1008
2010 – 2019
- 2019
- [j2]Sadok Rezig, Chekib Ghorbel, Zied Achour, Nidhal Rezg:
PLC-based implementation of supervisory control for flexible manufacturing systems using theory of regions. Int. J. Autom. Control. 13(5): 619-640 (2019) - 2017
- [c2]Chekib Ghorbel, Amira Tiga, S. Rannen, Naceur Benhadj Braiek:
Combined backstepping-PID control of inverted pendulum. SDD 2017: 779-784 - 2015
- [c1]Ameur Sassi, Chekib Ghorbel, Afef Abdelkrim:
Tracking control of nonlinear systems via backstepping design. SSD 2015: 1-6 - 2010
- [j1]Chekib Ghorbel, Afef Abdelkrim, Mohamed Benrejeb:
Observers for Continuous Non-Linear Systems Containing Unknown Parameters and Described by Takagi-Sugeno Fuzzy Model. Control. Intell. Syst. 38(2) (2010)
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