Dr Isabelle Queinnec, from LAAS in Toulouse, will be presenting us a seminar on Wednesday July 03 at 2pm. It will be in room 301 of the Electrotechnical building. Check the title and abstract of the seminar below. Title: Modelling bio(techno)logical systems for automatic control Abstract: The objective of this talk is to make a [...]
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 [...]
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 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 [...]
Gustavo Rodrigues will present a seminar about his ongoing TCC (final undergraduate project), in which he implements a new brand of DD design developed by his supervisor, Profa Lucíola. Wednesday May 08 at 3 pm in our seminar room ("salão de eventos").
The delta operator is an alternative to the shift operator commonly used for representation of sampled-data systems. It has a number of well-known conceptual and numerical advantages and some very convenient implications of its use in identification are also well described. This MSc project consists of applying IFT in controllers described with the delta operator. [...]