Aderiano da Silva
Papers
1
Total Citations
2
H-Index
1
About
Aderiano da Silva is a researcher whose work lies at the intersection of mechanical design, control systems, and motion optimization for industrial machinery. His primary research areas include integrated trajectory planning, system modeling, and control design, with a particular focus on the critical interplay between motor selection and overall machine performance. His most cited paper, "Integrated Trajectory Planning, System Modeling, and Control Design for Optimized Motor Selection" (2012), highlights a model-based design approach that demonstrates how accurate motion control depends not only on well-tuned controllers and mechanical systems but also on strategic trajectory planning and appropriate motor sizing. This work has garnered 2 citations, reflecting its niche but targeted contribution to the field. Da Silva’s research is especially valuable for engineers and students seeking a holistic understanding of how to optimize industrial machines from the ground up—bridging the gap between theoretical control design and practical hardware selection. His contributions underscore the importance of a systems-level perspective in achieving precision and efficiency in automated motion control.
Research Focus
Key Achievements
Top Papers
- 1