Application of the Artificial Fish School Algorithm and Particle Filter Algorithm in the Industrial Process Control Particle Filtering Algorithm for Industrial Process Control
Algorithm 2
The SOSS-based PF algorithm.
{
A particle set , is initialized, and a particle is produced by a priori probability , with , and all particles have a weight of ,.
For
For
Prediction: Use equation of state to predict the unknown state
Calculate particle weights:
End For
Normalized weight,
For
.
End For
Then, the minimum mean square estimate of the state vector at time k is obtained as . The priori condition probability density of system states is chosen as the important density function .
