Designing Adaptive Nonlinear Controller for Optimal Tracking of Laparoscopic Robotic Arm with Nonholonomic Constraints

Laparoscopic surgery is one kind of minimally invasive surgery in which surgeons can control and evaluate the tracking of the robot via special monitoring. Preserving stability, precise tracking, and uncertainties estimation are essential factors in controller design for these systems.