Cristiano Maria Verrelli
Papers
10
Total Citations
221
H-Index
7
About
Cristiano Maria Verrelli is a leading figure in nonlinear control theory, with a particular focus on learning and repetitive control for electromechanical systems. His research spans the synchronization of permanent magnet motors, adaptive learning control for robotic manipulators, and the development of global position controls for step motors. Verrelli’s major contributions include pioneering the use of Padé approximants in repetitive learning controls to achieve asymptotic tracking for robotic manipulators with uncertain dynamics, and designing novel algorithms that handle period uncertainties in periodic reference signals—a critical advancement for real-world applications. His work on learning position controls for permanent-magnet and hybrid step motors has garnered significant attention, with papers accumulating over 35 and 34 citations respectively. Notably, Verrelli has also ventured into interdisciplinary fields, co-authoring a systematic review on gaming technology for pediatric neurorehabilitation (42 citations), demonstrating the breadth of his impact. His recent research extends into soft bio-inspired robotics, integrating repetitive learning control with soft sensory feedback for body caudal undulation. With a strong record of theoretical innovation and experimental validation, Verrelli’s work continues to shape advanced control strategies for robotics and motor drives.
Research Focus
Key Achievements
Top Papers
- 1Gaming Technology for Pediatric Neurorehabilitation: A Systematic Review42 citations · 2022
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- 4Global Learning Position Controls for Permanent-Magnet Step Motors34 citations · 2011
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- 7Novel algorithms for the synchronization control of nonlinear systems16 citations · 2015
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- 9Repetitive Learning Control Design and Period Uncertainties5 citations · 2015
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