Pablo J. Prieto

About

Pablo J. Prieto is a leading researcher in advanced control systems, specializing in sliding mode control, robotics, and pneumatic actuation. His work focuses on developing robust control strategies for complex mechanical systems, particularly autonomous underwater vehicles (AUVs) and parallel robots. Prieto’s major contributions include the implementation of proxy-based sliding mode control (PSMC) on a 3-degree-of-freedom (3-DOF) electropneumatic platform, demonstrating how this hybrid approach combines the precision of sliding mode control with the smoothness of PID controllers. His 2013 paper on this topic has garnered 23 citations, establishing a foundation for further research. He also designed a yaw controller in sliding mode for AUVs (21 citations), addressing critical challenges in underwater vehicle autonomy. Prieto’s work extends to decoupled control schemes for pneumatic motion simulators and fuzzy sliding mode controllers for parallel robots, with stability proofs in the Lyapunov sense. Notably, his 2020 analysis of chattering in PSMC under parasitic dynamics (6 citations) provides essential insights for real-world applications. With over 67 total citations across his top papers, Prieto’s research bridges theory and practice, offering innovative solutions for motion simulation and autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Proxy-based sliding mode control on platform of 3 degree of freedom (3-DOF)

   23 citations · 2013
2. 2
   Yaw Controller in Sliding Mode for Underwater Autonomous Vehicle

   21 citations · 2016
3. 3
   Control Desacoplado de Plataforma Neumática de 3-GDL utilizada como Simulador de Movimiento

   10 citations · 2011
4. 4
   Estabilidad para un control borroso en modo deslizante aplicado a un robot paralelo neumático

   7 citations · 2015
5. 5
   Chattering of proxy-based sliding mode control in the presence of parasitic dynamics

   6 citations · 2020

Key Collaborators

Contact & Links