The Fundamentals of Aircraft Combat Survivability: Analysis and Design

Ball, Robert E.

doi:10.2514/4.861239

Cited by 166 publications

(176 citation statements)

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“…The last example is Command-and-Control (C2) system in [2]. The C2 system as a hypothetical military system has a central command center and some intermediate nodes which provide regional or specialized services, as well as a large number of leaf network nodes used by local commanders.…”

Section: Command-and-control Systemmentioning

confidence: 99%

“…Thus various comprehension and interpretations [16], [29] from different perspectives are given and the corresponding survivability evaluation models and methods are also proposed [33]. The notion of survivability initially is a common concept in weapons systems engineering [2], [24] and the definition indicates the degraded or different services should be included implicitly. The concepts of damage and probability are also included.…”

Section: Related Workmentioning

confidence: 99%

“…Obviously, we have ∀s ∈ S t, prob ∈ Prob S t , (s, prob ) ∈ P r ⊕ R, ∃prob 1 , prob 2 ∈ Prob S t , P[prob 1 /prob ] ∧ R[prob 2 /prob ] ∧ prob = r * prob 1 + (1 − r) * prob 2 . We know that ∀(s, prob ) ∈ P, (s, prob ) ∈ Q since P Q.…”

Section: Proofmentioning

confidence: 99%

“…The notion of survivability is originated from the weapon system engineering [2], [34] and then regarded as a crucial property for the networked information systems. The survivability property is analogous to the dependability characteristics such as reliability, availability, and security described by Avizienis et al [1].…”

Section: Introductionmentioning

confidence: 99%

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Investigating System Survivability from a Probabilistic Perspective

Zhao

Huang

Qin

et al. 2014

IEICE Trans. Inf. & Syst.

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SUMMARYSurvivability is an essential requirement of the networked information systems analogous to the dependability. The definition of survivability proposed by Knight in [16] provides a rigorous way to define the concept. However, the Knight's specification does not provide a behavior model of the system as well as a verification framework for determining the survivability of a system satisfying a given specification. This paper proposes a complete formal framework for specifying and verifying the concept of system survivability on the basis of Knight's research. A computable probabilistic model is proposed to specify the functions and services of a networked information system. A quantified survivability specification is proposed to indicate the requirement of the survivability. A probabilistic refinement relation is defined to determine the survivability of the system. The framework is then demonstrated with three case studies: the restaurant system (RES), the Warship Command and Control system (LWC) and the Command-and-Control (C2) system.

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Section: Command-and-control Systemmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Proofmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Investigating System Survivability from a Probabilistic Perspective

Zhao

Huang

Qin

et al. 2014

IEICE Trans. Inf. & Syst.

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“…This paper defines a methodology for using genetic programming [5] (GP) to evolve programs that combine maneuvers with additional countermeasures (such as chaff, flares, and jamming) to optimize aircraft survivability [1] against attack by a single surface-launched anti-aircraft missile (SAM) in light of uncertainty about the type and current state of that SAM. The integration of additional countermeasures with aircraft maneuvers and the introduction of uncertainty make the MCO problem extremely difficult to solve via traditional approaches, for several reasons: a) The problem is subject to critical real-time constraints.…”

Section: Introductionmentioning

confidence: 99%

A genetic programming methodology for missile countermeasures optimization under uncertainty

Moore

García

1998

Lecture Notes in Computer Science

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A salvo model of warships in missile combat used to evaluate their staying power

Hughes

1995

Naval Research Logistics

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A methodology is introduced with which to compare the military worth of warship capabilities. It is based on a simple salvo model for exploratory analysis of modern combat characteristics. The “fractional exchange ratio” is suggested as a robust way to compare equal‐cost configurations of naval forces, because we cannot know in advance how and where the warships will fight. To aid in exposition, definitions of all terms are included in Appendix A. The methodology is illustrated with important conclusions from parametric analysis, among which are Unstable circumstances arise as the combat power of the forces grows relative to their survivability. (Stable means the persistence of victory by the side with the greater combat potential.) Weak staying power is likely to be the root cause when instability is observed. Staying power is the ship design element least affected by the particulars of a battle, including poor tactics. Numerical superiority is the force attribute that is consistently most advantageous. For example, if A's unit striking power, staying power, and defensive power are all twice that of B, nevertheless B will achieve parity of outcome if it has twice as many units as A. © 1995 John Wiley & Sons, Inc.

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The Fundamentals of Aircraft Combat Survivability: Analysis and Design

Abstract: The fundamentals of aircraft combat survivability analysis and design/ written by Robert E. Ball.-2nd ed.p. cm.-(AIAA education series) Includes bibliographical references and index.ISBN 1-56347-582-0 (Hardcover : alk. paper) 1.

Cited by 166 publications

References 0 publications

Investigating System Survivability from a Probabilistic Perspective

Investigating System Survivability from a Probabilistic Perspective

A genetic programming methodology for missile countermeasures optimization under uncertainty

A salvo model of warships in missile combat used to evaluate their staying power

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