Paul Acquatella

Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Papers

Total Citations

H-Index

About

Paul Acquatella is a leading researcher in nonlinear control theory, with a focus on aerospace and robotic systems. His work centers on incremental nonlinear dynamic inversion (INDI), a sensor-based control approach that bridges model-based and measurement-driven strategies. Acquatella’s major contributions include demonstrating the equivalence between INDI and proportional-integral-derivative (PID) control, unifying concepts from time-delay control and aerospace flight control. His 2017 paper on PI(D) tuning via INDI for flight control systems (23 citations) provides a foundational framework for robust, agile aircraft control. In his 2020 work on agile spacecraft attitude control (17 citations), he extended INDI to spacecraft, enabling rapid and precise attitude tracking with minimal model dependency—a breakthrough for cost-efficient and high-performance space missions. He has also advanced algebraic estimation techniques for flexible joint robots (4 citations), addressing sensor limitations in industrial robotics. Acquatella’s research is notable for its practical impact, offering computationally efficient, sensor-driven solutions that reduce reliance on complex models, making advanced control accessible for real-world aerospace and robotic applications.