A
Adrian Filipescu
Researcher at University of Galați
Publications - 73
Citations - 524
Adrian Filipescu is an academic researcher from University of Galați. The author has contributed to research in topics: Mobile robot & Control theory. The author has an hindex of 14, co-authored 67 publications receiving 436 citations. Previous affiliations of Adrian Filipescu include École nationale supérieure d'ingénieurs électriciens de Grenoble.
Papers
More filters
Proceedings Article
Sliding-mode control for trajectory-tracking of a Wheeled Mobile Robot in presence of uncertainties
TL;DR: In this article, a dynamics-based sliding mode controller for WMR trajectory tracking is proposed, and closed loop real-time results show good performances in trajectory tracking even if for high upper bound of uncertainties.
Journal ArticleDOI
Modelling and control of an assembly/disassembly mechatronics line served by mobile robot with manipulator
TL;DR: In this paper, a real-time assembly/disassembly line balancing and a synchronised hybrid Petri nets (SHPN) model is used to model and control an assembly line with a fixed number of workstations.
Proceedings ArticleDOI
Trajectory-tracking and discrete-time sliding-mode control of wheeled mobile robots
TL;DR: A discrete-time sliding mode control for the trajectory tracking problem of wheeled mobile robots is presented and the simulation results and real time results prove the effectiveness of the proposed controller.
Journal ArticleDOI
Task Planning Algorithm in Hybrid Assembly/Disassembly Process
TL;DR: In this article, a model of a mechatronic assembly/disassembly line served by a robotic manipulator mounted on a mobile platform, in order to perform disassembly, is proposed.
Proceedings ArticleDOI
Adaptive gain sliding observer based sliding controller for uncertain parameters nonlinear systems. Application to flexible joint robots
TL;DR: In this article, an adaptive gain smooth sliding controller, based on a smooth sliding observer, is developed to control nonlinear SISO affine systems with uncertain parameters and state functions, and an adaptively updated parameter term is introduced in the steady state space model of the controlled system in order to obtain useful information despite fault detection.