Interdisciplinary Institute in Artificial Intelligence

DESCRIPTION

The primary objective of this chair is to investigate ways in which the powerful tools of artificial intelligence can be used to expand the scope of application and improve the performance of dynamical systems in order to handle complex relationships that cannot be easily modeled using knowledge-based equations.

More specifically, we develop new paradigms and/or methodologies for control systems and robotics using AI methods. Motivated by recent improvements to classical control algorithms achieved by incorporating AI methods and algorithms, we address fundamental issues in control systems and robotics.

By doing so, we will overcome the limitations of classical control theory by incorporating AI into the control loop and by applying AI to the system dynamics. Furthermore, for many problems—such as the calibration of sensors and actuators, modeling under uncertainty, and optimal uncertainty-aware control—AI methods have been recognized as essential approaches for achieving satisfactory results.

As part of the ultimate goal of this chair, we will develop dynamic methodologies for AI methods and algorithms that are sometimes based on static relationships.

ACTIVITIES

This chair supports research activities in control and robotic dynamical systems and in AI, in particular by providing grants to Ph.D. students and funding for postdoctoral positions. It brings together researchers and students with support from the University of Grenoble Alpes, the CNRS, and INRIA (at GIPSA-Lab, INRIA Grenoble, and LIG), as well as industrial partners (including Schneider and Sysnav, among others).

CHAIR EVENTS

This research group organizes meetings that feature internal presentations and scientific discussions. Members attend international conferences and are also frequently invited to give seminars and lectures related to their work within the group (such as at the IEEE Columbian Control Conference and the 14th ESA Workshop on Avionics, Data, Control, and Software Systems).

SELECTED LIST OF PUBLICATIONS 

• Nicolas Vanspranghe, Francesco Ferrante, Christophe Prieur. Stabilization of the Wave Equation Using Saturating Dirichlet Feedback. MICNON 2021 - Third IFAC Conference on Modelling, Identification, and Control of Nonlinear Systems, September 2021, Tokyo, Japan.


• Angelo Alessandri, Patrizia Bagnerini, Christophe Prieur, Anna Rossi. Control of Normal Flow PDEs with ISS Properties. CDC 2021 - 60th IEEE Conference on Decision and Control, Dec. 2021, Austin, United States.


• David Collet, Mazen Alamir, Domenico Di Domenico, Guillaume Sabiron. Behavioral Cloning for Fatigue-Oriented Optimal Predictive Control of Wind Turbines. MTNS 2020—24th International Symposium on Mathematical Theory of Networks and Systems, Aug. 2021, Cambridge, United Kingdom.


• Audrey Moulichon, Mazen Alamir, Lauric Garbuio, Vincent Debusschere, Mustapha Rahmani et al. “Replicability and Portability of an Advanced Grid-Forming VSG Control for an Electrical Grid with a High Proportion of Renewable Energy.” CIRED 2021—26th International Conference & Exhibition on Electricity Distribution, September 2021, Geneva, Switzerland.


• Andrii Mironchenko, Christophe Prieur, Fabian Wirth. Local Stabilization of an Unstable Parabolic Equation via Saturated Controls. IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, 2021, 66 (5), pp. 2162–2176.


• Francesco Ferrante, Christophe Prieur. “Boundary Control Design for Conservation Laws in the Presence of Measurement Disturbances.” *Mathematics of Control, Signals, and Systems*, Springer Verlag, 2021, 33, pp. 49–77.


• Lina Guan, Liguo Zhang, Christophe Prieur. “Optimal Observer-based Output Feedback Controller for Traffic Congestion with a Bottleneck.” *International Journal of Robust and Nonlinear Control*, Wiley, 2021, 31, pp. 7087–7106.


• Hugo Lhachemi, Christophe Prieur. “Feedback Stabilization of a Class of Diagonal Infinite-Dimensional Systems with Delay Boundary Control.” IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, 2021, 66 (1), pp. 105–120.


• Hugo Lhachemi, Christophe Prieur, Robert Shorten. In-domain stabilization of block-diagonal infinite-dimensional systems with time-varying input delays. IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers. 2021


• Makia Zmitri, Hassen Fourati, Christophe Prieur. BiLSTM Network-Based Extended Kalman Filter for Magnetic Field Gradient-Aided Indoor Navigation. IEEE Sensors Journal, Institute of Electrical and Electronics Engineers, 2021, pp. 1–8. ⟨10.1109/JSEN.2021.3091862⟩


• David Collet, Mazen Alamir, Domenico Di Domenico, Guillaume Sabiron. A fatigue-oriented cost function for optimal individual pitch control of wind turbines. IFAC-PapersOnLine, Elsevier, 2021, 53 (2), pp. 12632–12637.


• Wilbert Rossi, Jan Polderman, Paolo Frasca. “The Closed Loop Between Opinion Formation and Personalized Recommendations.” *IEEE Transactions on Control of Network Systems*, IEEE, 2021, pp. 1–12.


• Christophe Roman, Francesco Ferrante, Christophe Prieur. Parameter Identification of a Linear Wave Equation from Experimental Boundary Data. IEEE Transactions on Control Systems Technology, Institute of Electrical and Electronics Engineers, 2021, 29 (5), pp. 2166–2179.


• Nicolas Vanspranghe, Francesco Ferrante, Christophe Prieur. Control of a Wave Equation with a Dynamic Boundary Condition. 59th Conference on Decision and Control, 2020, Jeju Island, South Korea.


• David Collet, Mazen Alamir, Domenico Di Domenico, Guillaume Sabiron. Behavioral Cloning for Fatigue-Oriented Optimal Predictive Control of Wind Turbines. International Symposium on Mathematical Theory of Networks and Systems, August 2020, Cambridge, United Kingdom.


• Mazen Alamir. “On the Use of Supervised Clustering in Stochastic NMPC Design.” IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, In press, 10.1109/TAC.2020.2970424. hal-02450483


• Zilong Zhao, Sophie Cerf, Bogdan Robu, Nicolas Marchand. Event-Based Control for Online Training of Neural Networks. IEEE Control Systems Letters, IEEE, In press.


• Christophe Roman, Francesco Ferrante, Christophe Prieur. Parameter Identification of a Linear Wave Equation from Experimental Boundary Data. IEEE Transactions on Control Systems Technology, Institute of Electrical and Electronics Engineers, In press.


• Makia Zmitri, Hassen Fourati, Nicolas Vuillerme. Human Activities and Postures Recognition: From Inertial Measurements to Quaternion-Based Approaches. Sensors, MDPI, 2019, 19 (19), pp. 4058. 10.3390/s19194058.


• Makia Zmitri, Hassen Fourati, Christophe Prieur. “Improving Inertial Velocity Estimation Through a Magnetic Field Gradient-based Extended Kalman Filter.” IPIN 2019—International Conference on Indoor Positioning and Indoor Navigation, September 2019, Pisa, Italy. pp. 1–7.


• Mr. Alamir, Plenary Lecture, IEEE Columbian Control Conference, Medellín, Colombia, October 15–18, 2019