Team optimal signaling strategies in air combat

Virtanen, K.; Hamalainen, R.P.; Mattila, V.

doi:10.1109/icsmc.2001.973762

Cited by 6 publications

(8 citation statements)

References 15 publications

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“…It is a widely utilized method from decision analysis for analyzing multi criteria decision problems. An interval approach instead of the probability theory can be used for modeling uncertainty [80]. A process by which entities individually and take decisions autonomously can be developed so as to obtain a rational collective behavior.…”

Section: Linear Quadratic Approachmentioning

confidence: 99%

Multi Aerial Robot Planning

Sebbane

2014

Intelligent Systems, Control and Automation: Science and Engineering

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Multi-robot systems are a major research topic in robotics. Designing, testing and deploying in the real world a large number of aerial robots is a concrete possibility due to the recent technological advances. The first section of this chapter treats the different aspects of cooperation in a multi-agent systems. A cooperative control should be designed in terms of the available feedback information. A cascade-type guidance law is proposed, followed by consensus approach and flocking behavior. Since information flow over the network changes over time, cooperative control must react accordingly but ensure group cooperative behavior which is the major issue in analysis and synthesis. Connectivity and convergence of formations are also studied. Team approach is followed by deterministic decision making. Plans may be required for a team of aerial robots to plan for sensing, plan for action or plan for communication. Distributed receding horizon control as well as conflict resolution, artificial potentials and symbolic planning are thus analyzed. Then, association with limited communications is studied, followed by genetic algorithms and game theory reasoning. Next, multi-agent decision making under uncertainty is considered, formulating the Bayesian decentralized team decision problem, with and without explicit communication. Algorithms for optimal planning are then introduced as well as for task allocation and distributed chance constrained task allocation. Finally, some case studies are presented such as reconnaissance mission that can be defined as the road search problem or the general vehicle routing problem. Then, an approach is considered to coordinate a group of aerial robots without a central supervision, by using only local interactions between the robots. The third case is the optimization of perimeter patrol operation. If an aerial robot must be close from a location to monitor it correctly and the number of aerial robots does not allow covering each site simultaneously, a path planning problem arises. Finally stochastic strategies for surveillance are presented.Y.

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Section: Linear Quadratic Approachmentioning

confidence: 99%

Multi Aerial Robot Planning

Sebbane

2014

Intelligent Systems, Control and Automation: Science and Engineering

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“…We also show that the Hotstrat strategy dominates the strategies used in [14] for game theory problems. Both the players -Red and Blue start the game with a common operating view.…”

Section: Simulation Of Game Scenariomentioning

confidence: 99%

“…The player needs to prioritize messages before deciding which is the most important. This problem was solved by Virtenen in [14] by considering Maximax, Maximin and central values prioritization schemes. We modify the problem to compare game trees instead of comparing range of values.…”

Section: Example Gamementioning

confidence: 99%

Countermeasure against Distributed Denial of Service Attack

Hu¹

2017

dtetr

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ABSTRACT The threat of Distributed Denial of Service (DDoS) attack now has become a major issue in network security not only in commercial sectors but also government infra-structures. Although a lot of research has been done in this field, these attacks remain one of the most common threats affecting network performance. In this paper, the authors experimentally verify the validity of the analysis performed by running simulations using the SSFNet network simulator. A DDoS attack is simulated by flooding the mincut arcs in the network. The results indicate that the minimum number of zombie processors required to disable a set of arcs, the minimum attack traffic volume required to disable the arcs and our proposed technique will be part of an effective DDoS countermeasure.

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“…A realistic AC simulation model requires components representing aircraft, weapons, radars, and other apparatus. The simulation model has to also adequately represent the decision making [3]- [5] and situational awareness [6] of pilots. Furthermore, uncertainties affecting AC must be taken into account.…”

Section: Introductionmentioning

confidence: 99%

Game-Theoretic Validation and Analysis of Air Combat Simulation Models

Poropudas¹,

Virtanen²

2010

IEEE Trans. Syst., Man, Cybern. A

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Abstract-This paper presents a new game-theoretic approach toward the validation of discrete-event air combat (AC) simulation models and simulation-based optimization. In this approach, statistical techniques are applied for estimating games based on data produced by a simulation model. The estimation procedure is presented in cases involving games with both discrete and continuous decision variables. The validity of the simulation model is assessed by comparing the properties of the estimated games to actual practices in AC. These games are also applied for simulation-based optimization in a two-sided setting in which the action of the opponent is taken into account. In optimization, the estimated games enable the study of effectiveness of AC tactics as well as aircraft, weapons, and avionics configurations. The game-theoretic approach enhances existing methods for the validation of discrete-event simulation models and techniques for simulation-based optimization by incorporating the inherent game setting of AC into the analysis. It also provides a novel gametheoretic perspective to simulation metamodeling which is used to facilitate simulation analysis. The utilization of the game-theoretic approach is illustrated by analyzing simulation data obtained with an existing AC simulation model.

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Team optimal signaling strategies in air combat

Cited by 6 publications

References 15 publications

Multi Aerial Robot Planning

Multi Aerial Robot Planning

Countermeasure against Distributed Denial of Service Attack

Game-Theoretic Validation and Analysis of Air Combat Simulation Models

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