Decision support in fighter aircraft: from expert systems to cognitive modelling

Svenmarck, Peter; Dekker, Sidney

doi:10.1080/0144929031000109755

Cited by 13 publications

(4 citation statements)

References 21 publications

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“…Research on decision support systems (DSSs) for fighter aircraft [33,34] is an ongoing endeavor that could increase aircraft survivability [35]. The tactical aspects of a DSS require information on both the hostile threat sensors and the signatures of aircraft in order to estimate detection and intercept probabilities.…”

Section: Discussionmentioning

confidence: 99%

Empirical Study of Flight-Dynamic Influences on Radar Cross-Section Models

Persson

Bull

2016

Journal of Aircraft

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In this work, measurements and a method for analyzing flight-dynamic effects on radar cross-section models for aircraft are presented. Flight-dynamic effects need to be considered when designing combat aircraft and creating target models for radar simulators. The work is based on flight data from three different types of aircraft: Piper PA-28 Archer II, Boeing 737, and Saab JAS 39 Gripen. Using inertial navigation and global-positioning systems, the motions of the three aircraft are recorded in flight. From the data, aspect angles toward a radar station located in the extension of the intended flight path are generated using a simulator. It is found that the major contribution to perturbations in aspect angles is due to the rotational degrees of freedom and that bivariate normal distributions are a good candidate for approximating the uncertainty in aspect angles for all three aircraft types. It is also found that each rotational degree of freedom is close to a normal distribution but that the parameter values of the distribution vary with altitude and aircraft type. NomenclatureAz = azimuth aspect angle, deg a = major axis of confidence ellipse, deg b = minor axis of confidence ellipse, deg El = elevation aspect angle, deg E i = incident electric vector field, V∕m E s = scattered electric vector field, V∕m G = antenna gain h r = radar antenna height, m h t = target altitude, m P t = transmitted power, W R = range between radar and target, m R h = range to radar horizon, m R max = maximum detection range, m r e = effective radius of Earth, m S min = minimum detectable signal, W α = alpha risk θ = eigenvalue of Σ λ = radiation wavelength, m σ = radar cross-section, m 2 μ = mean value, deg ρ = correlation coefficient Σ = covariance matrix σ Az = azimuth standard deviation, deg σ El = elevation standard deviation, deg χ 2 2 α = upper αth percentile of chi-squared distribution with two degrees of freedom

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Section: Discussionmentioning

confidence: 99%

Empirical Study of Flight-Dynamic Influences on Radar Cross-Section Models

Persson

Bull

2016

Journal of Aircraft

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“…In (Yu & Wang, 2013;Kashyap, 2019aKashyap, , 2019b Intelligent DSS for Vehicle Maintenance combines both virtual maintenance, and fault diagnosis together using an expert system, Data warehouse (DW), automatic generation of fault tree, and intelligent interface. In (Svenmarckt & Dekker, 2003) reviews the problem of decision support in a highly complex and time-pressurized environment and instead of expert systems, cognitive modeling is used.…”

Section: Literature Reviewmentioning

confidence: 99%

Collaborative Decision Making (CDM) in Emergency Caused by Captain Incapacitation

Shmelova

Yatsko

Sierostanov³

2023

International Journal of Decision Support System Technology

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The authors present a new approach to decision-making to ensure the proper collaboration of different personnel. Models are used in intelligent integrated decision support systems, especially for actions in emergencies. Behavioral deterministic models are used for synchronization actions of all operators, to support and timely predicting of operators' actions in an emergency. To determine the quantitative characteristics of risk levels, models for collaborative decision making (CDM) under uncertainty by the operators (pilots, air traffic controllers, flight/dispatch), and other invited specialists, have been developed. The decision-making modeling of a group of operators in case of an emergency situation such as “pilot incapacitation” was presented. The methodological basis for CDM in certainty is network planning, in conditions of Stochastic uncertainty – is a decision tree, in conditions of non-stochastic uncertainty – is a matrix of decisions, and outcomes are made this using the expert judgment method for obtaining quantity estimations.

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“…As a result, cooperation described previously is possible. According to the results presented by Svenmarckt and Dekker (2003), the systems decisions (Levels 3 and 4) are less useful for pilot than improvement of SA. Consider that the automatic rescue should be activated only in any immediate danger.…”

Section: Pilot–assistant Dialoguementioning

confidence: 99%

Control and monitoring assistant for pilot

Pieniazek

2019

AEAT

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Purpose Cooperation of a pilot with an automated aircraft control and monitoring systems is a problem which should be solved designing the whole system. The method of design, which creates an assistant of a pilot, is the purpose of this study. Design/methodology/approach An analysis of human factors shows demands for working environment. An integration method for various technological systems and algorithms is searched. Findings It is possible to make the whole system to become a pilot assistant, which has ability to exchange information with pilot by a dialogue. Structural flexibility is obtained in multi-agent system structure. Practical implications Proposed approach is a solution of how to integrate increasing amount of aircraft systems. It is expected that new form of cooperation fits to human features. Proposed methodology solves problem of simultaneous control by two controllers and cooperative making decisions. Social implications Dialogue between human and the system proposed in this solution will change perception of machines. Originality/value New abilities of machines and proposition of their realisation are presented. Presented solution of simultaneous control and decision-making during aircraft control is a novel approach to human–machine cooperation.

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Decision support in fighter aircraft: from expert systems to cognitive modelling

Cited by 13 publications

References 21 publications

Empirical Study of Flight-Dynamic Influences on Radar Cross-Section Models

Empirical Study of Flight-Dynamic Influences on Radar Cross-Section Models

Collaborative Decision Making (CDM) in Emergency Caused by Captain Incapacitation

Control and monitoring assistant for pilot

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