Carlos Eduardo Klein
Papers
1
Total Citations
20
H-Index
1
About
Carlos Eduardo Klein is a leading researcher in nonlinear system identification and control, with a focus on precision mechatronics and robotic micromanipulation. His work addresses the critical challenge of modeling and controlling hysteretic, nonlinear systems—particularly piezoelectric actuators—which are essential for high-precision applications in micro-robotics and nanotechnology. Klein’s most cited paper, “Nonlinear Black-box System Identification through Neural Networks of a Hysteretic Piezoelectric Robotic Micromanipulator” (2015, 20 citations), introduced a neural network-based approach to capture complex hysteresis dynamics without requiring explicit physical models. This contribution enables robust control design even when sensing is imprecise, advancing the reliability of micromanipulators used in tasks like cell manipulation and micro-assembly. By bridging machine learning and control theory, Klein’s work has practical impact on improving positioning accuracy and bandwidth in high-dynamics systems. His research continues to influence the development of intelligent, adaptive controllers for next-generation precision robotics, making him a key figure in the intersection of nonlinear dynamics, neural identification, and mechatronic system design.
Research Focus
Key Achievements
Top Papers
- 1