Research Article
A∗WRBAS: Space Mobile Robotics Control Conceptual Model Using IoRT Reinforcement Learning and Tracking with Noise Estimation Using EKF
Algorithm 1
Proposed algorithm: discrete state model as per angle of arrival.
| (1) | Initialize: | | (2) | while (initialize mean) | | (3) | initialize error covariance | | (4) | initialize for k = 0 | | (5) | for k − 1,2,…,n do | | (6) | loop till the number of samples | | (7) | else if state estimate time update | | (8) | error covariance time update | | (9) | end if | | (10) | for Kalman gain i = 0 do | | (11) | state estimate update | | (12) | error covariance update | | (13) | Predicted covariance | | (14) | return value |
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