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
Top Papers
- 1Adaptive generalized model-based control of robot manipulators10 citations · 1993
- 2
- 3A model-based sliding mode controller for robot manipulators4 citations · 2002
- 4