Adaptive Approach for Situational Analysis of Space Experiments

TL;DR

This paper introduces adaptive algorithms for analyzing complex situational conditions in space experiments, improving the efficiency of modeling and verification processes for satellite project optimization.

Contribution

It presents two novel formal algorithms based on alternative strategies for verifying multiple conditions, enhancing model calculation effectiveness in space experiment analysis.

Findings

Algorithms increase verification efficiency

Effective for complex, independent condition sets

Applicable to optimization of scientific satellite projects

Abstract

The solving of scientific and practical application connected with conducting of satellite experiments and measurement demand analysis of geometric and physic conditions according to different kind of models. This is forced in connect of optimization of complex and expensive scientific projects. This article treat complex situation conditions described as conjunction of elementary mutually independent are discussed. Two formal algorithms based on alternative strategy for verification of multitude of the checked conditions which increase effectiveness of model calculation are present in this article. Every algorithm is connected with an approach for rearranging of the multitude of conditions. The inverse problem is presented as disjunction of all inverse constrains. The possibilities for applying of these algorithms are analyzed and behavior and effectiveness of the proposed algorithms are discussed.