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Fingerprint Dive into the research topics where Mansour Karkoub is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Controllers Engineering & Materials Science
Drill strings Engineering & Materials Science
Robust control Engineering & Materials Science
Robots Engineering & Materials Science
Neural networks Engineering & Materials Science
Vibrations (mechanical) Engineering & Materials Science
Fuzzy control Engineering & Materials Science
Trajectories Engineering & Materials Science

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Research Output 1990 2019

  • 941 Citations
  • 19 h-Index
  • 85 Article
  • 22 Conference contribution
  • 1 Comment/debate

Distributed Newton and Quasi-Newton methods for formation control of autonomous vehicles

Karkoub, M., Wang, H. & Wu, T. S., 1 Jan 2019, In : Ships and Offshore Structures.

Research output: Contribution to journalArticle

Autonomous underwater vehicles
Newton-Raphson method
Adaptive Sliding Mode Control
Trajectory Tracking
Mobile Robot
Mobile robots
Sliding Mode

Trajectory Tracking Control of Unicycle Robots with Collision Avoidance and Connectivity Maintenance

Karkoub, M., Atınç, G., Stipanovic, D., Voulgaris, P. & Hwang, A., 1 Jan 2019, In : Journal of Intelligent and Robotic Systems: Theory and Applications.

Research output: Contribution to journalArticle

Collision avoidance
Mobile robots

Design and experimental analysis of new industrial vibration dampers

Gharib, M. & Karkoub, M., 1 Aug 2018, In : Journal of Mechanical Science and Technology. 32, 8, p. 3523-3535 13 p.

Research output: Contribution to journalArticle

Design of experiments
Sustainable development

GA optimized formation control of autonomous underwater vehicles

Karkoub, M. & Romdhane, L., 1 Jan 2018, Dynamics, Vibration, and Control. American Society of Mechanical Engineers (ASME), (ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE); vol. 4A-2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Autonomous underwater vehicles
Multiobjective optimization