Adaptive control of robot manipulator using fuzzy compensator

By Byungkook Yoo, W. Ham. IEEE transactions on fuzzy systems, 2000

355 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/8044b6513aba4b45f2acab3a97703d94efd8c28b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Qi Zhou
2. Hongyi Li
3. Renquan Lu
4. Chengwei Wu

In Control and Systems Engineering

1. Hongyi Li
2. Qi Zhou
3. Chengwei Wu
4. Renquan Lu
5. Shiyi Zhao
6. Shaocheng Tong
7. Yong-ming Li
8. Wei He

Citations in the corpus

• Methodology of Mathematical Error-Based Tuning Sliding Mode Controller (2012, methodology): “International Journal of Engineering (IJE), Volume (6) : Issue (2) : 2012 117 [57] Farzin Piltan, Nasri B Sulaiman, Iraj Asadi Talooki and Payman Ferdosali.,” Designing On-Line Tunable Gain Fuzzy Sliding Mode Controller Using Sliding Mode Fuzzy Algorithm: Applied to Internal Combustion Engine,” worl”
• Adaptive Neural Network Tracking Control for Robotic Manipulators With Dead Zone (2019, methodology): “In [41], two kinds of adaptive control schemes were presented for the robot manipulator with the parametric uncertainties by the fuzzy logic control method.”