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Bernard Essimbi Zobo
Researcher at University of Yaoundé I
Publications - 14
Citations - 69
Bernard Essimbi Zobo is an academic researcher from University of Yaoundé I. The author has contributed to research in topics: Lyapunov function & Adaptive control. The author has an hindex of 4, co-authored 11 publications receiving 43 citations.
Papers
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Journal ArticleDOI
Robust adaptive command filtered control of a robotic manipulator with uncertain dynamic and joint space constraints
TL;DR: Command filters are used to overcome the time derivatives of virtual control, thus reducing the need for desired trajectory differentiations, and the stability analysis of the closed-loop system using the Lyapunov theory permits to highlight adaptation laws and to prove that all signals of the ClosedLoop system are bounded.
Proceedings ArticleDOI
zSlices based type-2 fuzzy motion control for autonomous robotino mobile robot
Jean Bosco Mbede,Achille Melingui,Bernard Essimbi Zobo,Rochdi Merzouki,Belkacem Ould Bouamama +4 more
TL;DR: A real time local path modification and motion planning system using the concept of zSlices based general type-2 fuzzy sets to allow ROMR facing of high levels uncertainties encounters in changing and dynamics unstructured indoor environments.
Journal ArticleDOI
Adaptive Fuzzy Finite-Time Command-Filtered Backstepping Control of Flexible-Joint Robots
Roger Datouo,Joseph Jean Baptiste Mvogo Ahanda,Achille Melingui,Frédéric Biya-Motto,Bernard Essimbi Zobo +4 more
TL;DR: An adaptive fuzzy finite-time command-filtered backstepping control scheme is presented to solve the following problems: “explosion of terms” problem, finite- time stabilization of the closed-loop system, and the reduction of computational cost.
Journal ArticleDOI
Small-Scale Modular Multilevel Converter for Multi-Terminal DC Networks Applications: System Control Validation
Elie Talon Louokdom,Serge Gavin,Daniel Siemaszko,Frédéric Biya-Motto,Bernard Essimbi Zobo,Mario Marchesoni,Mauro Carpita +6 more
TL;DR: In this article, the authors present the design and implementation of a digital control system for modular multilevel converters (MMC) and its use in a 5 kW small-scale prototype.
Journal ArticleDOI
Robust Control for Robot Manipulators: Support Vector Regression Based Command Filtered Adaptive Backstepping Approach
Joseph Jean-Baptiste Mvogo Ahanda,Jean Bosco Mbede,Achille Melingui,Bernard Essimbi Zobo,Othman Lakhal,Rochdi Merzouki +5 more
TL;DR: This study derives a robust adaptive control for electrically driven robot manipulators using support vector regression (SVR) based command filtered adaptive backstepping approach using the Lyapunov theory to highlight adaptation laws and prove that all signals of the closed loop system are bounded.