An Epistemology of Observation Theory and an Example of Serendipity: from Signal Processing to Control System Theory

Bio

Jean-Pierre Barbot is Professor at ENSEA Cergy-Pontoise, France and he is actually in secondment at LS2N-CNRS, Ecole Centrale Nantes. He is the former director of the Quartz Laboratory EA 7393 and a former member of EPI Non-A at INRIA. After his graduation from the Ecole Normale Supérieure of Cachan France, he received the Ph.D. degree in automatic control from the University of Paris XI France in 1989 and the HDR in 1997. These main research activities deal with sliding mode control and observation, system under sampling, hybrid system, delay system, synchronization of chaotic system, normal form and recently sparsity apply to FDI and Cyber-attack detection. These main application domains are electrical machines, power converters and renewable energy. He is the author or co-author of over 300 international articles.

Abstract

This presentation is first devoted to a historical overview of one observation theory. This one, is subjective and ethnocentric. These biases are due to the author’s own work. After that, a well known result of signal processing, “the compressive sensing”, will be recalled and how it can be used in the control theory. The applications developed thereafter arise from the curiosity of a whole team (L. YU, G. Zheng, F. Nicoalu, Y Shtesell, I Haidar, C. Edwars, S. Derbel, S. Nateghi, M. Makni) for sciences other than control theory, which has caused a phenomenon of Serendipity. Finally, some examples in control theory from this serendipity will be presented.