Paolo Castaldi

Marconi University, University of Bologna

Papers

Total Citations

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About

Paolo Castaldi is a researcher whose work bridges the frontiers of adaptive control theory and neuroengineering. His primary research areas include nonlinear control systems, disturbance observer-based techniques, and data-driven modelling of complex biological systems. A standout contribution is his 2023 paper on "Disturbance observer-based adaptive neural guidance and control of an aircraft using composite learning," which has already garnered 12 citations—a strong indicator of its impact in advancing robust, intelligent flight control. Castaldi also ventures into neuroscience, as seen in his 2020 study on "Data-Driven Modelling of the Nonlinear Cortical Responses Generated by Continuous Mechanical Perturbations" (4 citations), where he applies sophisticated modelling to decode how the human sensorimotor system processes external stimuli via EEG. This work is pivotal for understanding neural dynamics and could inform rehabilitation technologies. By merging rigorous control theory with biological signal analysis, Castaldi demonstrates a rare versatility, offering fresh insights into both autonomous systems and human-machine interfaces. His growing citation record underscores his influence in shaping adaptive, data-driven approaches across engineering and neuroscience.