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Salem-Bilal Amokrane
Observed names:
Amokrane Salem-Bilal,
Salem‐Bilal Amokrane
Institution:
University of Defence
Observed institution:
University of Defence
ORCID:
0009-0009-7588-5708
Observed ORCID:
0009-0009-7588-5708
OpenAlex ID:
A5093367446
Active disturbance rejection control for unmanned tracked vehicles in leader–follower scenarios: Discrete-time implementation and field test validation
2023
·
Salem-Bilal Amokrane
, Mohammed Zouaoui Laidouni
, et al.
·
Mechatronics
·
26
PDF
Lane following with obstacle avoidance for unmanned tracked vehicles using monocular vision and active disturbance rejection control
2025
·
Salem-Bilal Amokrane
, Momir Stanković
, et al.
·
Control Engineering Practice
·
4
Enhancing Intrusion Detection System Performance through Feature Selection
2025
·
Salem-Bilal Amokrane
, Dimitrije Bujaković
, et al.
·
Acta Polytechnica Hungarica
·
3
PDF
Anomaly network intrusion detection system based on NetFlow using machine/deep learning
2023
·
Touati Adli
, Salem-Bilal Amokrane
, et al.
·
Vojnotehnicki glasnik
·
2
PDF
Fractional extended state observer for balancing noise suppression and disturbance rejection: Theoretical analysis with numerical validation
2026
·
Ahmed Taki‐Eddine Benyahia
, Rafal Madonski
, et al.
·
Asian Journal of Control
·
1
A comprehensive review of control and guidance strategies for unmanned ground vehicles in lane tracking and leader-follower applications
2025
·
Amokrane Salem-Bilal
, Momir Stanković
, et al.
·
Vojnotehnicki glasnik
·
1
PDF
Deep learning channel estimation for 5G wireless communications
2023
·
Mohammed Laidouni
, Taki-Eddine Benyahia
, et al.
·
Vojnotehnicki glasnik
·
1
PDF
Vision-Based Backstepping ADRC for Path Following of an Unmanned Tracked Vehicle with Curvature-Dependent Velocity Scheduling
2026
·
Momir Stanković
, Salem-Bilal Amokrane
, et al.
·
Lecture notes in networks and systems
Adaptive ADRC with deep reinforcement learning for leader-follower control in unmanned tracked vehicles
2025
·
Salem-Bilal Amokrane
, Momir Stanković
, et al.
·
Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
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Works count:
9
Citation count:
38
H-index:
3
I10-index:
1
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