Intelligent Robust Motion Controller Design for Robotic System

Authors

  • Ms. PriyankaDr. K.M Soni ,Dr. Rajveer Kushaldev Shastri

Keywords:

Robust control, intelligent systems, sliding mode control, fuzzy logic, neural networks, particle swarm optimization, trajectory tracking, robotic manipulator, Lyapunov stability, motion control

Abstract

The increasing complexity of robotic systems in industrial automation, autonomous navigation,and advanced manufacturing demands motion controllers that are both intelligent and robust

References

Chen, Y., Wang, H., & Liu, X. (2024). "Adaptive Neural Network Control for Robotic Manipulators with Model Uncertainties." IEEE Transactions on Robotics, 40(3), 245-258. Available at: https://ieeexplore.ieee.org/document/10234567

Zhang, L., Kumar, S., & Patel, R. (2024). "Application of Improved Sliding Mode and Artificial Neural Networks in Robot Control." Applied Sciences, 14(12), 5304. Available at: https://www.mdpi.com/2076-3417/14/12/5304

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Published

2024-05-20

How to Cite

Ms. PriyankaDr. K.M Soni ,Dr. Rajveer Kushaldev Shastri. (2024). Intelligent Robust Motion Controller Design for Robotic System. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 2344–2363. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3332

Issue

Vol. 33 No. 05 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.