Summary
Dr Ludovic Renson is a Lecturer within the Dynamics Group in the Department of Mechanical Engineering at Imperial College London. Dr Renson received his PhD degree in Aerospace Engineering from the University of Liege (Belgium) in 2014 and was a Research Associate in the Department of Engineering Mathematics at the University of Bristol prior to his appointment at Imperial in 2019.
His research interests are in the dynamics and control of nonlinear systems, often with applications related to aerospace structures. His research currently includes the development of computational methods to study nonlinear structure dynamics, nonlinear model reduction, and advanced (control-based) experimental techniques for nonlinear systems. He currently holds a Research Fellowship from the Royal Academy of Engineering addressing the development of the next generation of testing methods for nonlinear structures.
Publications
Journals
Sadati H, Naghib E, Shiva A, et al., 2020, TMTDyn: A Matlab package for modeling and control of hybrid rigid–continuum robots based on discretized lumped system and reduced-order models, International Journal of Robotics Research, ISSN:0278-3649
Conference
Kerschen G, Brake MRW, Renson L, 2021, Preface, ISSN:2191-5644
Abeloos G, Renson L, Collette C, et al., 2021, Control-based continuation of nonlinear structures using adaptive filtering, 38th IMAC, A Conference and Exposition on Structural Dynamics, Springer International Publishing, Pages:109-112, ISSN:2191-5644
Müller F, Abeloos G, Ferhatoglu E, et al., 2021, Comparison between control-based continuation and phase-locked loop methods for the identification of backbone curves and nonlinear frequency responses, 38th IMAC, A Conference and Exposition on Structural Dynamics 2020, Springer International Publishing, Pages:75-78, ISSN:2191-5644
Renson L, 2020, Identification of backbone curves and nonlinear frequency responses using control-based continuation and local gaussian process regression, 38th IMAC, A Conference and Exposition on Structural Dynamics 2020, Springer International Publishing, Pages:83-85, ISSN:2191-5644