Amir A. Bature
Papers
7
Total Citations
60
H-Index
4
About
Amir A. Bature is a control systems engineer whose research is centered on the modeling, identification, and control of Two-Wheeled Inverted Pendulum (TWIP) mobile robots — an inherently unstable class of systems that presents significant challenges in robotics and automation. His most influential work, a 2014 experimental comparison of controllers for balancing TWIP robots (29 citations), established a practical benchmark between model-based and non-model-based control strategies, providing the robotics community with valuable real-world performance insights. Bature has made substantial contributions across multiple control paradigms, including Linear Quadratic Regulators (LQR), Model Predictive Control (MPC), fuzzy logic controllers, and Takagi-Sugeno fuzzy model-based approaches. His 2019 work on fuzzy tracking control for simultaneous balancing and velocity regulation demonstrated sophisticated integration of fuzzy Lyapunov stability theory with non-PDC control laws. He has also advanced multiple operating point linearization techniques and composite nonlinear feedback methods for underactuated systems. With a body of work accumulating over 60 citations, Bature's research offers both theoretical rigor and experimental validation, making his publications particularly valuable for students and engineers working on autonomous mobile robot control and nonlinear systems stabilization.
Research Focus
Key Achievements
Top Papers
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- 5Position Tracking Controllers for Two Wheeled Inverted Pendulum Robot3 citations · 2014
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