Predefined-Time Robust Stabilization of Robotic Manipulators
Aldo Jonathan Muñoz‐Vázquez, Juan Diego Sánchez‐Torres, Esteban Jiménez‐Rodríguez, Alexander G. Loukianov
- Year
- 2019
- Citations
- 366
Abstract
The contribution of this paper is a dynamic controller that enforces predefined-time stabilization of robotic manipulators by exploiting the passivity property inherent to their dynamical structure. The proposed scheme is continuous and provides exact predefined-time stabilization in the case of full knowledge of the robot dynamics. Nonetheless, even in the case of dynamic uncertainties and nonvanishing disturbances, exact predefined-time stabilization can be assured by using an additional unit-vector-like control term, and alternatively, a predefined-time predefined-bounded convergence can be achieved into a vicinity of the origin by means of a continuous controller. Numerical results based on simulations highlight the feasibility of the proposed scheme.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002