2014
DOI: 10.14429/dsj.64.5791
|View full text |Cite
|
Sign up to set email alerts
|

Discrete Deterministic Modelling of Autonomous Missiles Salvos

Abstract: The paper deals with mathematical models of sequent salvos battle, of autonomous flight missiles (AFM) organized in the groups of combatants. Tactical integration of AFM system distance-controlled weapon is considered by performances of simultaneous approaches on targets, and continual battle models of guerilla and direct fire, are redesigned to the discrete-continual mixed model, for checking missiles sudden, and further salvos, attack effects. Superiority parameters, as well as losses and strengths of full, … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2015
2015
2016
2016

Publication Types

Select...
1
1

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 16 publications
0
1
0
Order By: Relevance
“…This also results in the degradation of the working platforms' capabilities caused by less effective particular operations in the cycles. The cause of this degradation could be a consequence of rapid highenergy operations realized in short-time sequences (high mechanical power values) in successive, orderly repeated cycles, similar to those described in paper [13]. However, according to that paper, the affected points on the surfaces do not obey any probabilistic law, and thus there is no error distribution as a modelling parameter.…”
Section: Explanation Of the General Modelmentioning
confidence: 96%
“…This also results in the degradation of the working platforms' capabilities caused by less effective particular operations in the cycles. The cause of this degradation could be a consequence of rapid highenergy operations realized in short-time sequences (high mechanical power values) in successive, orderly repeated cycles, similar to those described in paper [13]. However, according to that paper, the affected points on the surfaces do not obey any probabilistic law, and thus there is no error distribution as a modelling parameter.…”
Section: Explanation Of the General Modelmentioning
confidence: 96%