Papers

4

Total Citations

22

H-Index

3

About

M. Hanmandlu is a researcher whose work has made meaningful contributions to the fields of control systems engineering, robotics, and large-scale interconnected systems. His research has primarily focused on developing advanced control strategies for robot manipulators, with particular emphasis on model-based and adaptive control frameworks that account for the complex, nonlinear dynamics inherent in robotic systems. Among his most notable contributions is his pioneering work on adaptive generalized model-based control for robot manipulators, which innovatively incorporated full-order actuator dynamics alongside second-order manipulator dynamics, offering engineers greater design flexibility and improved trajectory tracking precision. This foundational work, which garnered 10 citations, influenced subsequent developments in decentralized control methodologies for large-scale interconnected nonlinear systems — a challenging domain where his decentralized model-based approach provided robust stabilization solutions. Hanmandlu further advanced the field through his development of a model-based sliding mode controller that effectively addressed the persistent chattering problem, a significant practical limitation in sliding mode control implementations. His decentralized variable structure model-following controller demonstrated an elegant approach to managing manipulator complexity by focusing on simpler actuator dynamics. Collectively, his body of work represents a coherent and systematic effort to make robot control systems more reliable, adaptable, and practically implementable.

Research Focus

Key Achievements

3
H-Index
4
Papers
22
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive generalized model-based control of robot manipulators
10 citations · 1993
📈 Most Prolific Year: 1993 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Indian Institute of Technology Delhi, Indian Institute of Technology Indore

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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