Branko G. Celler

UNSW Sydney

Papers

6

Total Citations

556

H-Index

6

About

Branko G. Celler’s research bridges the critical gap between advanced control theory and real-world mechatronic systems, with a particular focus on electro-hydraulic actuators and rehabilitation robotics. His most influential work, cited over 255 times, introduces a backstepping control strategy combined with an extended-state observer to handle unknown plant dynamics in electro-hydraulic systems—a breakthrough for industrial and robotic applications requiring precise, disturbance-resistant positioning. He further advanced this field by developing neural adaptive backstepping controllers that enforce prescribed performance constraints, ensuring both dynamic and steady-state tracking accuracy in robotic manipulators. Celler’s contributions to state-constrained control have provided robust solutions for suppressing load disturbances under parametric uncertainty, directly improving the reliability of electro-hydraulic actuators. Beyond industrial systems, he has applied his expertise to human-centric technologies, including cable-based rehabilitation robots that decode human motion intent through bumpless switching mechanisms, enabling safer, more intuitive assistance for post-stroke recovery. His work also extends to digital health, with a systematic review on fall prevention and behavioral management in dementia care. With over 550 total citations across his core publications, Celler is recognized for translating complex control theory into practical, high-impact solutions for automation, robotics, and healthcare.

Research Focus

Key Achievements

6
H-Index
6
Papers
556
Total Citations
93
Avg Citations/Paper
🏆 Most Cited Paper
Backstepping Control of Electro-Hydraulic System Based on Extended-State-Observer With Plant Dynamics Largely Unknown
255 citations · 2016
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: UNSW Sydney

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago