Jordan Karlev
Papers
1
Total Citations
2
H-Index
1
About
Jordan Karlev is a control systems engineer whose research centers on the modeling, identification, and advanced control of autonomous robotic platforms, with a particular focus on two-wheeled balancing robots. His most cited work, "Multi-output identification and LQG control of a two-wheeled robot" (2021), introduces a novel approach that moves beyond traditional single-input single-output methods by employing a single-input multi-output identification framework. This work culminates in the design and Hardware-in-the-Loop (HIL) simulation of a Linear-Quadratic Gaussian (LQG) controller, demonstrating a more robust and practical solution for stabilizing inherently unstable systems. While his citation count is currently modest, Karlev’s contribution is notable for bridging the gap between theoretical multi-output identification and real-world implementation via HIL testing, a methodology critical for safe controller validation. His research is particularly relevant for students and engineers working on the intersection of system identification, optimal control theory, and mechatronic design, offering a clear pathway from simulation to hardware deployment in autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1Multi-output identification and LQG control of a two-wheeled robot2 citations · 2021