Karim Cherifi

Papers

Total Citations

H-Index

About

Karim Cherifi’s research centers on control systems, robotics, and system identification, with a particular focus on minimal realization techniques for complex multi-input, multi-output (MIMO) systems. His most cited work, a 2017 review paper, systematically evaluates and compares key minimal realization methods—including the coprime fraction approach—for linear time-invariant systems, using a SCARA robot manipulator as a case study. This contribution provides a critical framework for engineers seeking efficient, low-order models in robotics and automation, balancing realization configuration with computational space and time constraints. While his citation count remains modest, Cherifi’s work addresses foundational challenges in system theory, offering practical guidance for reducing model complexity without sacrificing accuracy. His research bridges theoretical control methods and real-world robotic applications, making it valuable for students and practitioners working on system identification, robot control, and MIMO system design. By clarifying trade-offs among different realization techniques, Cherifi helps advance the efficiency and reliability of robotic manipulators in industrial settings.