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 .

Resampling:

End For

}

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