Angelo Liseno
Papers
1
Total Citations
12
H-Index
1
About
Angelo Liseno’s research bridges control theory and electromagnetic engineering, with a focus on optimizing trajectory tracking for uncertain systems. His most-cited work, “Optimized Trajectory Tracking of a Class of Uncertain Systems Applied to Optimized Raster Scanning in Near-Field Measurements” (2018, 12 citations), tackles a fundamental challenge in Cartesian robots, conveyor belts, and medical scanning devices. By proving theorems for PID controller design, Liseno enables precise, efficient raster scanning in near-field antenna characterization—a critical application for telecommunications and radar systems. This contribution addresses real-world actuator uncertainties, improving accuracy in high-stakes environments like medical imaging and aerospace testing. While his citation count reflects a specialized niche, his theoretical rigor and practical impact are notable: his work directly enhances the reliability of scanning systems used in engineering diagnostics. Liseno’s research exemplifies how control theory can solve tangible problems in measurement and automation, making him a key figure in the intersection of dynamical systems and applied electromagnetics.
Research Focus
Key Achievements
Top Papers
- 1