C.M. Astorga‐Zaragoza

About

C.M. Astorga‐Zaragoza is a leading figure in advanced control theory and observer design for complex nonlinear systems, with a particular focus on fault diagnosis and estimation. Their research centers on developing robust methodologies for state and fault estimation in systems plagued by challenging dynamics, including parameter variations, time delays, and multirate sampling. A key contribution is the introduction of a generalized learning observer (GLO) for actuator fault estimation in quasi-linear parameter varying (q-LPV) systems, a framework that unifies and extends prior proportional-integral observer designs. This work, along with their innovative high-gain observer for nonlinear systems with multiple long time-varying delays, has garnered significant attention, with their most cited papers accumulating over 7 citations each. More recently, Astorga‐Zaragoza has advanced the field with a generalized functional observer for Takagi-Sugeno descriptor systems, enabling efficient estimation of linear state functions. Their work is highly influential for researchers and engineers in fault-tolerant control, offering practical solutions for real-time monitoring and safety in industrial applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Actuator fault estimation based on generalized learning observer for quasi‐linear parameter varying systems

   7 citations · 2021
2. 2
   Observer design for a class of disturbed nonlinear systems with multirate sampled outputs involving multiple long time-varying delays

   7 citations · 2021
3. 3
   Generalized Functional Observer for Descriptor Nonlinear Systems—A Takagi-Sugeno Approach

   4 citations · 2023

Key Collaborators

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