Robust Time-delayed Control of Nonlinear Discrete-time Systems
Salvatore Pedone, Maja Trumić, Adriano Fagiolini
- 发表年份
- 2023
- 引用次数
- 2
摘要
With the mass production of robotic systems and an emerging new generation of collaborative robots, the requirements are increasing for robust and efficient control strategies, that can successfully deal with disturbances. This paper proposes a robust and time-delayed control formulated for discrete-time systems, leaning on the theory of Luenberger observers and disturbance-observer-based strategies. The bounded convergence both of the proposed estimator and the tracking error to are proved analytically. Validation is performed in the simulation on a single-link robot manipulator in the presence of structural and significant parametric uncertainty.
关键词
相关论文
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