Excellence in Research Award

Jean-Pierre Barbot
École Centrale de Nantes, LS2N, 1 rue de la Noë, 44100 Nantes, France

Jean-Pierre Barbot
Affiliation École Centrale de Nantes, LS2N
Country France
Scopus ID A7103143996
Documents 402
Citations 6,161
h-index 39
Subject Area Numerical Differentiator
Event AApplied Scientist Awards
ORCID 0000-0002-7723-2534

Jean-Pierre Barbot is a researcher affiliated with École Centrale de Nantes and the Laboratoire des Sciences du Numérique de Nantes (LS2N), France. His supplied Scopus profile records 402 documents, 6,161 citations and an h-index of 39. This article presents the available bibliometric information and research affiliation in the context of the Excellence in Research Award associated with the Applied Scientist Awards. [1] [2]

Abstract

Jean-Pierre Barbot is a French academic researcher whose work encompasses nonlinear automatic control, observation theory, sliding-mode techniques and applications involving electrical systems and renewable energy. His academic profile is associated with École Centrale de Nantes and LS2N. The supplied bibliometric record reports 402 research documents, 6,161 citations and an h-index of 39. These indicators provide quantitative context for examining his research activity and scholarly visibility. [1] [3]

Keywords

Jean-Pierre Barbot; nonlinear automatic control; sliding-mode control; numerical differentiation; system observation; nonlinear systems; fault detection and isolation; renewable energy; electrical systems; research impact; Applied Scientist Awards.

Introduction

Research in automatic control and nonlinear systems contributes to the development of analytical and computational methods for understanding, monitoring and regulating complex dynamic processes. Jean-Pierre Barbot’s academic work is associated with these areas, particularly nonlinear control, observation and system analysis. His research has connections to engineering applications, including electrical machines, power converters and renewable-energy systems. [3] [4]

Research Profile

Jean-Pierre Barbot is identified in institutional and bibliographic records as a professor and researcher in automatic control. His institutional research affiliations include ENSEA and the Laboratoire des Sciences du Numérique de Nantes (LS2N), associated with École Centrale de Nantes. The institutional directory identifies nonlinear automatic control and applications to renewable energies and low-carbon mobility among his principal research areas. [3] [4]

Research Contributions

Barbot’s collaborative research addresses theoretical and applied problems in nonlinear systems and automatic control. His publications demonstrate contributions to the mathematical analysis of systems with time delays, control-system observability and the development of control strategies for engineering applications. [2]

Publications

His indexed publication record includes collaborative journal articles and conference contributions in control theory, nonlinear systems and engineering applications. The following examples illustrate the range of topics represented in his bibliographic record. [1] [2]

  1. Chen, Y., Ghanes, M., & Barbot, J.-P. (2023). Strong Left-Invertibility and Strong Input-Observability of Nonlinear Time-Delay Systems. IEEE Control Systems Letters, 7, 805–810. https://doi.org/10.1109/LCSYS.2022.3227130. [5]
  2. Letellier, C., Minati, L., Barbot, J.-P., Sendiña-Nadal, I., & Leyva, I. (2025). Flatness-based control for generalized synchronization of chaotic systems with large dissipation and dimension mismatch. Chaos, 35(9). https://doi.org/10.1063/5.0276030. [5]
  3. Letellier, C., Sendiña-Nadal, I., Leyva, I., & Barbot, J.-P. (2023). Generalized synchronization mediated by a flat coupling between structurally nonequivalent chaotic systems. Chaos, 33(9). https://doi.org/10.1063/5.0156025. [5]

Research Impact

Bibliometric indicators provide one method of examining the visibility and citation activity of an academic publication record. According to the information supplied for this profile, Jean-Pierre Barbot’s Scopus metrics are 402 documents, 6,161 citations and an h-index of 39. These figures are presented as supplied profile data and should be interpreted with reference to the date and version of the underlying database record. [1]

Award Suitability

The Excellence in Research Award recognizes scholarly contributions, research productivity, academic engagement and the advancement of scientific knowledge. Jean-Pierre Barbot’s documented research activity in nonlinear automatic control, system observation and engineering applications provides relevant subject matter for consideration under this recognition category.[2] [5]

Conclusion

Jean-Pierre Barbot’s academic profile reflects research activity in nonlinear automatic control, observation theory and engineering applications. His documented publications address theoretical and applied aspects of complex systems, including nonlinear time-delay systems and synchronization. The supplied bibliometric indicators provide additional quantitative context for understanding his scholarly record.

References

  1. Elsevier. (n.d.). Scopus author details: Jean-Pierre Barbot, Author ID 7103143996. Scopus profile.
    https://www.sciencedirect.com/author/7103143996/jean-pierre-barbot
  2. Chen, Y., Ghanes, M., & Barbot, J.-P. (2024). Implicit Function Theorem for Nonlinear Time-Delay Systems With Algebraic Constraints. IEEE Transactions on Automatic Control, 69(4), 2629–2636.
    https://dblp.org/rec/journals/tac/ChenGB24
  3. ENSEA. (n.d.). Jean-Pierre Barbot – Academic Directory. National School of Electronics and its Applications. Institutional profile and research areas.
    https://www.ensea.fr/en/School/who-are-we/directory/barbot-jean-pierre
  4. Laboratoire des Sciences du Numérique de Nantes (LS2N). (n.d.). Jean-Pierre Barbot – Member Profile. Research affiliation and expertise.
    https://www.ls2n.fr/membres/barbot-jp/
  5. Chen, Y., Ghanes, M., & Barbot, J.-P. (2023). Strong Left-Invertibility and Strong Input-Observability of Nonlinear Time-Delay Systems. IEEE Control Systems Letters, 7, 805–810. DOI: 10.1109/LCSYS.2022.3227130.
    https://doi.org/10.1109/LCSYS.2022.3227130
Jean-Pierre Barbot | Numerical Differentiator | Excellence in Research Award

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