The student’s main job will be code algorithms to identify models of Anaerobic Bioreactors. The student must be familiar with Numerical Methods and we give preference to students from the Mathematic's Bachelor Program. Application to this scholarship with Prof. Diego by email (diegoeck@urfrgs.br) or in person.
Smart Grids (SG) are the new paradigm in energy production and management which brings as much opportunities for building an energy efficiency society as it raises technical challenges. In a SG a large number of independent agents (from independent power producers to the individual customers) can make independent decisions and control actions, the data available for [...]
Measurements of biosignals from the human body has a huge and ever widening range of applications. The mathematical description of the processes generating these biosignals provides a deeper understanding of their functioning and thus opens new perspectives to a variety of applications, ranging from health diagnosis to assessment of athletic performance. Different health conditions are [...]
Good dynamic models are fundamental for the conception, operation and optimization of any complex system, and bioreactors are no exception to this rule. For operation of a given bioreactor, precise prediction of the reactor's output is the main purpose of a model, and Data-Driven (black-box) models are most convenient for this job. Identification of DD models for bioreactors using [...]
Some DD methods can be used to design controllers for NMP systems, thanks to some extensions that have been proposed in the literature and by our group. A TCC (final undergraduate project) in Electrical/Computer Engineering or in Control/Automation Engineering would consist in the application of one or more of these methods to design a controller [...]
The industry acceptance of DD adaptive control methods depends strongly on their efficient implementation in an appropriate SW/HW platform. Your TCC (final undergraduate project) in Electrical Engineering or in Control/Automation Engineering can contribute to the performance improvement of automation systems through the dissemintation of DD methods. A TCC would consist of implementing the various DD [...]
System Identification is a fundamental phase of an automated system's life-cycle, as most system's tasks (regulatory control, MPC, contingency managing, etc) rely on an accurate models. System Identification can be a very costly procedure for complex systems, thus its efficient and reliable implementation in dedicated HW/SW platforms has a huge potential to contribute to the [...]
The student’s main job will be the digital simulation and practical implementation of control systems, where the controller is designed using the controller identification method. Simulation of the control systems are going to be done using MATLAB / SIMULINK, and practical implementation are going to be in the didactic processes from Lascar. Different control performances [...]
The student's mains task will be the coding and validation of the identification and control auto-tuning methods developed within the scope of this project. These methods are initially developed and tested in MATLAB and must be migrated to C + +, for efficiency purposes and to allow their real-time application. The student must be familiar with [...]
The student's main job will be the digital simulation of biotechnological processes and data collection and manipulation in a bioreactor. More specifically, these tasks consist of: - Simulation of control systems using MATLAB / SIMULINK. Parameter identification methods and self-tuning controllers developed within the scope of this project must be validated by simulation in a [...]