Abstract
Problem of soil acidity regularization is modeled as stochastic adaptive control problem with a linear difference equation of the dynamics of a field pH level. Stochastic component in the equation represents an individual time variability of soil acidity of an elementary section. We use Bayesian approach to determine a posteriori probability density function of the unknown parameters of the stochastic transition process. The Kullback–Leibler information divergence is used as a measure of difference between true distribution and its estimation. Algorithm for the construction of an adaptive stabilizing control in such a linear control system is proposed in the paper. Numerical realization of the algorithm is represented for a problem of a field soil acidity control.
| Original language | English |
|---|---|
| Pages (from-to) | 1671-1677 |
| Number of pages | 7 |
| Journal | Stochastic Environmental Research and Risk Assessment |
| Volume | 29 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2015 |
Scopus subject areas
- Mathematics(all)