08:00 - 09:00 | Thu 17 Oct | Pacífico | T3-P2-1
While handling uncertainties was the "raison d'être" of feedback control, this question came back to the center of the control community's research effort these last years.
This renewed interest is partially due to new emerging problems where the uncertainty is no more the bad guy to kill but the major actor in the play. Moreover, the objective to achieve in these new problems is far more complicated than regulate or track some reference signal. Economic optimal operation of energy systems is an example of such new field of application.
Another field in which the uncertainty plays a major role is the control of biological systems where models from applied mathematics are far too simple to represent the reality. This makes handling large uncertainties on the parameters of the model the only way to partially legitimate their use in any decision making process.
This talk proposes several realistic and industrial case-studies in order to introduce some tools and frameworks that can be of great help in addressing the new uncertainty-related challenges. The basic message of this talk is that feedback tools are still corner stones in larger solutions provided that these tools are appropriately positioned in the big picture and provided that some modern tools and paradigm are jointly investigated to build new polymorphic solutions.