Papers

4

Total Citations

78

H-Index

4

About

Edi Kurniawan is a control systems researcher whose work focuses on advanced repetitive control and robust sliding mode strategies for complex dynamic systems. His primary research areas include decentralized multi-input multi-output (MIMO) repetitive control, robust integral terminal sliding mode control, and the practical application of these techniques to nonlinear and robotic platforms. Kurniawan’s most cited work, “Extreme-learning-machine-based robust integral terminal sliding mode control of bicycle robot” (2022, 43 citations), demonstrates his ability to integrate machine learning with nonlinear control to stabilize inherently unstable systems. His foundational contributions to decentralized repetitive control (2013, 2016) provide systematic design frameworks in both continuous and discrete time, enabling effective tracking of periodic signals and rejection of periodic disturbances in MIMO systems—a critical challenge in industrial automation. Additionally, his work on robust repetitive control (2013) addresses the practical issue of variable sampling periods, making these controllers more adaptable to real-world applications. With a total of over 70 citations across his key papers, Kurniawan’s research bridges theoretical rigor and practical implementation, offering valuable tools for engineers working on robotics, precision motion control, and disturbance rejection.

Research Focus

Key Achievements

4
H-Index
4
Papers
78
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Extreme-learning-machine-based robust integral terminal sliding mode control of bicycle robot
43 citations · 2022
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: National Research and Innovation Agency, Swinburne University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago