Mathematics & Physics Frontiers 2026 - Theories, Models, and Applications

Theme: The Convergence of Mathematics and Physics: Modelling Complexity in Nature and Technology

23-25, April 2026 Holiday Inn Frankfurt Airport – Neu-Isenburg, Frankfurt, Germany
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LOEMBE SOUAMY
Featured Speaker

LOEMBE SOUAMY

Session Speaker

China

Biography

Control engineering, nonlinear and intelligent control systems, and renewable energy technologies.

Abstract Title

Dr. Loembe Souamy Rostand Martialy Davy is a Congolese researcher and academic specializing in Automatic Control, Nonlinear Systems, Renewable Energy Systems, and Intelligent Control Engineering. He obtained his Engineering Degree in Automatic Control (2010) and later completed a Master’s Degree in Automatic Control and Energy Systems (2013) at Hohai University in Nanjing, China. He received his Ph.D. in Automatic Control in 2017 from the Nanjing University of Posts and Telecommunications, where his doctoral research focused on chaotic nonlinear gyroscope synchronization and control using backstepping design. Dr. Loembe has published several scientific works in international peer-reviewed journals and IEEE-indexed conferences, particularly in the fields of control theory, nonlinear dynamics, photovoltaic systems, hydrogen energy technology, and advanced signal and energy systems. His research interests include adaptive control, intelligent systems, renewable energy conversion, photovoltaic power optimization, fuel cell systems, and nonlinear system stability. He is currently affiliated with the Université Marien Ngouabi, where he contributes to teaching, research, and academic supervision in the field of Automation and Control Engineering. Reference: Chaos Synchronization of Chua System Using Adaptive Backstepping Finite-Time Control Design This paper presents an adaptive backstepping control strategy to achieve finite time Chaos Synchronization for the uncertain Chua system. Using Lyapunov stability theory, a controller is designed to ensure that the synchronization error converges to zero in a finite time, even in the presence of unknown system parameter constants and external disturbances.The effectiveness of the proposed method is demonstrated through numerical simulations. Keywords: Chua System, Finite-Time Synchronization, Adaptive backstepping Control, Uncertainty