Alejandra Ferreira de Loza

About

Alejandra Ferreira de Loza is a leading researcher in robust control and fault diagnosis, with a focus on sliding-mode observers and their applications to robotic and autonomous systems. Her most influential work, "Manipulator Fault Diagnosis via Higher Order Sliding-Mode Observers" (2012, 160 citations), introduced a model-based diagnostic scheme capable of detecting and isolating actuator and sensor faults in robot manipulators. This contribution has become a cornerstone for real-time fault-tolerant control in industrial robotics. In more recent work, she addresses trajectory tracking for nonholonomic vehicles, such as the AutoNOMO platform, using a decoupling approach that transforms the kinematic model into a chained form for precise control. Her 2023 paper on a robust finite-time model reference adaptive controller for disturbed LTI systems further demonstrates her ability to push the boundaries of adaptive control theory. Ferreira de Loza’s research bridges theoretical rigor and practical implementation, making her a key figure in the development of resilient, high-performance control systems for robotics and autonomous vehicles.

Research Focus

Key Achievements

Top Papers

1. 1
   Manipulator Fault Diagnosis via Higher Order Sliding-Mode Observers

   160 citations · 2012
2. 2
   Trajectory tracking control for an AutoNOMO vehicle using a decoupling approach

   10 citations · 2020
3. 3
   A robust finite–time model reference adaptive controller for arbitrary order disturbed LTI systems

   2 citations · 2023

Key Collaborators

Contact & Links