Séminaire d’automatique @ Paris-Saclay

Cette série de séminaires vise à faire connaître, dans la communauté de H-CODE, les avancées récentes concernant les domaines de l’automatique et de la théorie du contrôle, ainsi que des thématiques émergentes corrélées.

Organisateurs :

Next Seminar

13h40–14h00 — Salle du conseil (L2S)

EXTREMA: Enabling Autonomous Interplanetary Spacecraft

Andrea Carlo Morelli (Politecnico di Milano)

Abstract. Space missions are extremely expensive, especially deep-space exploration ones. In recent years, the advent of CubeSats (i.e., miniaturized spacecraft) in Low Earth Orbit has drastically decreased spacecraft integration and development costs. However, the costs required to operate satellites do not scale with their dimension. Therefore, advantages brought by CubeSats could be partially jeopardized. With the recent success of CubeSats demonstration missions in deep-space and in the Earth-Moon environment, it becomes crucial to develop autonomous GNC systems for small satellites in order to further allow the use of miniaturized spacecraft in future exploration missions. If successful, these systems could be easily adapted to larger spacecraft with tremendous impact on their costs and therefore on the entire space sector. The EXTREMA project collocates within this framework, and aims at developing algorithms, strategies, and facilities to show that autonomous interplanetary CubeSats are possible.

Biography. Andrea Carlo Morelli is a PhD student in Space Engineering. He holds a Master of Science degree from Politecnico di Milano. He is working on the ERC-funded project EXTREMA, which aims at enabling autonomous interplanetary miniaturized spacecraft. In particular, he focuses on the autonomous recomputation of the trajectory to be followed by the satellite.

14h00–15h00 — Salle du conseil (L2S)

Fuzzy Model Predictive Control for Takagi & Sugeno Systems with Optimised Prediction Dynamics

Diego Muñoz-Carpintero (Institute of Engineering Science, Universidad de O’Higgins, Chile)

Abstract. This talk will discuss the design of a Model Predictive Control (MPC) strategy for Takagi & Sugeno (TS) systems that is based on a control law with optimised prediction dynamics, first proposed in a context of Robust MPC for systems with multiplicative uncertainty. We will examine the characteristics of the Robust MPC formulation, and then based on the similarities between this kind of systems and state-space TS systems, this predicted control law is adapted to fuzzy models to exploit the known information of the normalised degrees of activation. It is described how to design the parameters of the controller and how to apply it in closed-loop fashion. It is shown that the proposed controller is guaranteed to be recursively feasible and asymptotically stabilises the controlled systems, and simulation examples are used to illustrate the attributes and benefits of the proposed controller.

Biography. Diego Muñoz-Carpintero received the B.Sc. and M.Sc. degrees in electrical engineering from the Universidad de Chile, in 2009 and 2010, respectively, and the D.Phil. degree in control engineering from the University of Oxford, in 2014. From 2015 to 2016, he was a Research Fellow at Nanyang Technological University, and from 2017 to 2019, he was a Postdoctoral Researcher at the University of Chile. He is currently an Assistant Professor at the Institute of Engineering Science, Universidad de O’Higgins. His research interests include control theory in the areas of predictive, robust and stochastic control; intelligent control; fuzzy and neural modelling; and their application to energy efficient control of systems such as micro-grids, electric vehicle routing, battery management and agricultural irrigation.

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Past Seminars

Séminaire de Vincent Perrollaz

23/03/2021 – 14h00-15h00 – Online Control and Feedback stabilization for entropy solutions to conservation laws Vincent Perrollaz (IDS, Université de Tours) Abstract. Hyperbolic conservation laws are partial differential …
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Séminaire de Alessio Iovine

09/03/2021 – 14h00-15h00 – Online On the utilization of Macroscopic Information for String Stability of a Vehicular Platoon Alessio Iovine (L2S, CentraleSupèlec) Abstract. Interconnected autonomous vehicles have the …
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Séminaire de Edouard Pauwels

16/02/2021 – 14h00-15h00 – Online A mathematical model for nonsmooth algorithmic differentiation with applications to machine learning. Edouard Pauwels (Université Paul Sabatier, Toulouse) Abstract. We are interested in …
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Séminaire de Andrea Simonetto

19/01/2021 – 14h00-15h00 – Online Personalized optimization for cyber-physical and social systems Andrea Simonetto (IBM Research Ireland) Abstract. Optimization is the cornerstone of many engineering systems and cyber-physical …
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Séminaire de Guilherme Mazanti

08/12/2020 – 14h00-15h00 – Online The multiplicity-induced-dominancy property for scalar differential equations with time-delays Guilherme Mazanti (INRIA équipe DISCO, L2S, CentraleSupélec) Abstract. Even in simple situations with time-delays …
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Séminaire de Riccardo Bonalli

17/11/2020 – 16h00-17h00 – En ligne Towards Principled Algorithms for Stochastic Optimal Control of Nonlinear Dynamical Systems Riccardo Bonalli (Autonomous System Labs, Stanford University, US) Abstract. Nowadays, achieving …
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