Its main objective is to carry out research in modeling, identification and control of processes and dynamic systems, both locally and remotely, including sensors, actuators and communication systems for control and supervision.
The laboratory is implemented for teaching purposes related to pre- and (post)graduate courses. It also allows cates for research forward in advanced automatic control.
- System of interconnected (conical and parallelepiped) pools that allows the implementation of experiments of identification of non-linear systems, and diffuse and neuronal control.
- Motor-generator system based on direct current (DC) machines, which allows the implementation of classic linear control experiments.
- Twin-rotor system that enables the emulation of helicopter dynamics, facilitating the development of adaptive control and anomaly detection experiments.
- PLC (programmable logic controller) System .
- “Delta-V» distributed control system.
- FONDECYT Project 1110070: “Risk-Sensitive Particle Filtering Framework for Failure Prognosis and Uncertainty Representation in Nonlinear Systems with High-Impact/Low-Likelihood Events”. PI: Marcos Orchard (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. University of Chile (2011-2013).
- Innova-Chile CORFO Project 11IDL1-10409: “Model-Based Probabilistic Approach for Online State-of-Health/Load-State Estimating and Profile Characterization in Lithium-Ion Battery Utilization”. PI: Marcos Orchard (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. University of Chile (2012).
- «Real-time Estimation Module and Prediction of Health Status (SOH) and State of Charge (SOC) of Lithium-ion Batteries». PI: Marcos Orchard (U.Ch.). Center of Innovation of the Lithium (Center of Energy). Department of Electrical Engineering, Faculty of Physical Sciences and Mathematics, University of Chile (03/2012 – 09/2012).
- FONDECYT Project 11070022: “Sequential Monte Carlo Methods and Feedback Concepts Applied to Fault Diagnosis and Failure Prognosis in Nonlinear, Non-Gaussian Dynamic Systems”. PI: Marcos Orchard (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. University of Chile (2007-2009).
Ph.D. Georgia Institute of Technology, USA.