Rihab Kouki
Papers
2
Total Citations
43
H-Index
2
About
Rihab Kouki is a researcher at the forefront of advanced control systems and autonomous robotics, with a particular focus on nonlinear model predictive control (NMPC) and Internet of Things (IoT) integration. Her most influential work, "A new fast nonlinear model predictive control of parallel manipulators: Design and experiments" (2022), has garnered 29 citations and introduces a computationally efficient NMPC framework validated through real-world experiments on parallel manipulators, significantly improving real-time control performance. In her highly cited 2019 study (14 citations), Kouki tackles the challenge of data-driven cooperative tracking for multi-agent linear systems under imperfect wireless communication, designing an autonomous IoT predictive control application that successfully drives a single-wheeled robot. This work bridges wireless networked multi-agent topologies with embedded operating systems, demonstrating practical solutions for resilient, decentralized control. Her contributions are particularly notable for advancing the integration of predictive control algorithms with IoT architectures, enabling more robust and autonomous robotic systems. Kouki’s research continues to influence the development of intelligent, networked control systems, making her a key figure in modern robotics and automation.
Research Focus
Key Achievements
Top Papers
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