Papers
6
Total Citations
68
H-Index
4
About
Ankur Goel is a control systems researcher whose work focuses on advanced sliding mode control strategies for uncertain nonlinear systems, with a primary application to robotic manipulators. His most significant contribution is the development of adaptive high-order super-twisting sliding mode controllers, which address the critical challenges of chattering reduction and robustness against uncertainties. His 2016 paper on this topic, which has garnered 27 citations, demonstrates a novel approach to controlling MIMO uncertain nonlinear systems. Goel has further refined these techniques by integrating proportional–integral–derivative-type nonsingular fast terminal sliding mode control, as seen in his 2020 work (19 citations), which eliminates singularities while ensuring rapid convergence. His research also explores chattering-free trajectory tracking (10 citations) and the fusion of adaptive fuzzy logic with super-twisting control (5 citations) to handle time-varying uncertainties. Additionally, Goel has investigated active disturbance rejection control enhanced by evolutionary algorithms (4 citations), showcasing his versatility in combining classical and modern control paradigms. Through these contributions, Goel has established himself as a key figure in advancing robust, high-performance control for robotic systems.
Research Focus
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Top Papers
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- 6HIGH ORDER SUPER TWISTING SLIDING MODE CONTROL OF ROBOTIC MANIPULATOR3 citations · 2015