Research Article
An Improved KF-RBF Based Estimation Algorithm for Coverage Control with Unknown Density Function
Algorithm 2
The improved KF-RBF based estimation algorithm.
| Require: The sampling measurements and the agent positions . | |
| Ensure: The estimated density function | |
| (1) Initialization: The related parameters , , , , , ; The basis function and the estimation | |
| errors critic ; | |
| (2) while do | |
| (3) and ; | |
| (4) Compute , and in (18); | |
| (5) Obtain through the previous estimated density function; | |
| (6) Calculate the estimation errors ; | |
| (7) while do | |
| (8) Calculate based on (21); | |
| (9) Update the covariance matrix ; | |
| (10) Substitute into (20) and obtain the coefficient parameters ; | |
| (11) Obtain the estimated density function through (18); | |
| (12) end while | |
| (13) Remove from and choose another point for estimation; | |
| (14) Update the related variables: ; ; | |
| (15) end while |