2016
DOI: 10.1007/s11071-016-2641-4
|View full text |Cite
|
Sign up to set email alerts
|

Optimal sliding mode control of a robot manipulator under uncertainty using PSO

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 29 publications
(2 citation statements)
references
References 22 publications
0
2
0
Order By: Relevance
“…Recently, optimization techniques have attracted the attention of researchers who deal with the control problems of manipulator robotics. PSO-based PID and sliding mode control for manipulator robotics were implemented for optimizing and tuning the gains of PID, and improve the parameters of dynamic design in sliding mode control [18] [19]. A combined genetic algorithm with sliding mode control with sliding perturbation provides the optimal gains in order to obtain the robust routine [20].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, optimization techniques have attracted the attention of researchers who deal with the control problems of manipulator robotics. PSO-based PID and sliding mode control for manipulator robotics were implemented for optimizing and tuning the gains of PID, and improve the parameters of dynamic design in sliding mode control [18] [19]. A combined genetic algorithm with sliding mode control with sliding perturbation provides the optimal gains in order to obtain the robust routine [20].…”
Section: Introductionmentioning
confidence: 99%
“…PSO algorithm was proposed by Kennedy and Eberhard in 1995. It is an intelligent algorithm that obtains the final solution through a continuous optimisation [17, 18]. The algorithm gives a set of random solutions at the beginning of the calculation, and then the real solution is continuously approached through an intelligent search method [19, 20].…”
Section: Introductionmentioning
confidence: 99%