Sheraz Ali Khan
Papers
1
Total Citations
11
H-Index
1
About
Dr. Sheraz Ali Khan is a leading researcher in advanced robotics and nonlinear control systems, with a particular focus on robust and adaptive control strategies for complex multibody robotic platforms. His most-cited work, "DDPG-Based Adaptive Sliding Mode Control with Extended State Observer for Multibody Robot Systems" (2023, 11 citations), introduces a groundbreaking hybrid control framework that synergizes deep reinforcement learning (DDPG) with sliding mode control (SMC) and extended state observers. This design achieves finite-time stability and exceptional robustness against uncertainties and external disturbances—a critical advancement for high-precision robotic manipulation. Dr. Khan’s contributions bridge the gap between model-free learning and classical robust control, offering a practical solution for real-world robotic systems operating in unpredictable environments. His work is highly regarded for its theoretical depth and engineering applicability, making him a notable figure in the field of intelligent robotics and nonlinear control.
Research Focus
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Top Papers
- 1