Alleviation of Delay in Tele-Surgical Operations Using Markov Approach-Based Smith Predictor

The acceptance of tele-robotics and teleoperations through networked control system (NCS) is increasing day-by-day. NCS involves the feedback loop wherein components such as actuators sensors are controlled allowed to share their over real time network with distributed users spread geographically. performance surgical complications majorly depend upon delay, packet dropout jitter induced in system. delay data receiving side not only causes instability but also affect In this article, author designed simulate functionality a model-based Smith predictive controller. model randomized error estimations employed Markov approach Kalman techniques. simulation results show 49.926ms from master controller slave 79.497ms sensor total 129.423ms. This reduced improve accuracy eliminate risk factors criticality patients’ health.