November 2021
Monday, 8th November - 14h (Salle du Conseil)
Speaker : Mauro Mancini (invited PhD student from Turino, Italia)
Title : Adaptive Sliding Mode Control for spacecraft applications
Abstract : This presentation focuses on the automatic control of satellite attitude dynamics. First, practical applications are presented in which the parameters of the satellite to be controlled are not available. Then, the problems encountered in synthesising a control law for satellites with unknown parameters are presented. Sliding Mode Control (SMC) techniques are then proposed to address this problem. Then, after a brief overview of this control technique, a strategy used to adapt a parameter of the sliding mode control law in real time is presented. Finally, the results obtained by numerical simulations are presented, and the adaptive SMC is compared with the classical SMC.
Title : Adaptive Sliding Mode Control for spacecraft applications
Abstract : This presentation focuses on the automatic control of satellite attitude dynamics. First, practical applications are presented in which the parameters of the satellite to be controlled are not available. Then, the problems encountered in synthesising a control law for satellites with unknown parameters are presented. Sliding Mode Control (SMC) techniques are then proposed to address this problem. Then, after a brief overview of this control technique, a strategy used to adapt a parameter of the sliding mode control law in real time is presented. Finally, the results obtained by numerical simulations are presented, and the adaptive SMC is compared with the classical SMC.
Speaker : Corbinian Schlosser (PhD student supervised by Milan)
Title : The Lyapunov theorem (not the one you think of at first)
Abstract : Stability of non-linear systems might come to mind at first for most of us when hearing "Lyapunov theorem". But there are several different Lyapunov theorems. I will shortly introduce one of them - the Lyapunov vector-measure theorem. To formulate it, let Σ be a sigma algebra and (μ1,…,μn) be a bounded atom-free vector measure, that is μi is a bounded measure and any set A with positive mass μi(A)>0 contains a subset B ⊂ A with 0< μi(B) < μi(A) . The Lyapunov vector-measure theorem states that the image of such a vector measure (μ1,…,μn) - when plugging in all the measurable sets - is a convex and compact set. A known application to fair birthday-cake distribution is presented and emphasized but not demonstrated by a real cake.
Title : The Lyapunov theorem (not the one you think of at first)
Abstract : Stability of non-linear systems might come to mind at first for most of us when hearing "Lyapunov theorem". But there are several different Lyapunov theorems. I will shortly introduce one of them - the Lyapunov vector-measure theorem. To formulate it, let Σ be a sigma algebra and (μ1,…,μn) be a bounded atom-free vector measure, that is μi is a bounded measure and any set A with positive mass μi(A)>0 contains a subset B ⊂ A with 0< μi(B) < μi(A) . The Lyapunov vector-measure theorem states that the image of such a vector measure (μ1,…,μn) - when plugging in all the measurable sets - is a convex and compact set. A known application to fair birthday-cake distribution is presented and emphasized but not demonstrated by a real cake.