Modeling and Control Systems

The Modeling and Control Systems research line is dedicated to the study, development and application of techniques for the mathematical description of physical systems and automatic control. In this respect, research activities focus on theoretical and experimental aspects involving modeling and simulation of real systems, as well as on obtaining control systems that meet the functional needs and practical criteria of the systems in question.
The main research topics associated with the line are listed below:

  1. Control of Dynamic Systems: linear, non-linear, robust, adaptive, fuzzy, intelligent control, etc. Process automation;
  2. Control sensors and actuators. Inertial Navigation;
  3. Modeling and Identification: analysis and mathematical modeling of phenomena (physical, chemical, biological, etc.). Structures of linear and non-linear models. Deterministic and stochastic methods for obtaining mathematical models. Validation of models;
  4. Optimization: Linear and non-linear optimization techniques. Optimal control. Optimization in system identification;
  5. Simulation and Data Analysis: methodologies for simulating phenomena. Analysis of experimental data. Analysis and propagation of errors and uncertainties. Analog and digital signal processing. Linear and non-linear filtering.