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modeling and simulation for defense systems and applications vi

ISBN: (纸本)9780819486349

The proceedings contain 19 papers. The topics discussed include: a high performance computing framework for physics-based modeling and simulation of military ground vehicles;rolling partial prefix-sums to speedup evaluation of uniform and affine recurrence equations;accelerating sparse linear algebra using graphics processing units;high-level GPU computing with jacket for MATLAB and C/C++;roles and assessment methods for models of sensor data exploitation algorithms;multi-frame atmospheric compensation under moving camera conditions;power versus performance tradeoffs of GPU-accelerated backprojection-based synthetic aperture radar image formation;a hardware-in-the-loop simulation program for ground-based radar;an agile acquisition decision-support workbench for evaluating ISR effectiveness;modeling of hybrid organic/inorganic dual RF-photonic slot waveguide modulator;and improved representation of situational awareness within a dismounted small combat unit constructive simulation.

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Detection and defense of cyberattacks on the machine learning control of robotic systems

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JOURNAL OF defense modeling AND simulation-applications METHODOLOGY TECHNOLOGY-JDMS 2024年第2期21卷 181-203页

作者： Clark, George W. Andel, Todd R. McDonald, J. Todd Johnsten, Tom Thomas, Tom Spring Hill Coll 4000 Dauphin St Mobile AL 36608 USA Univ S Alabama Mobile AL USA

Robotic systems are no longer simply built and designed to perform sequential repetitive tasks primarily in a static manufacturing environment. systems such as autonomous vehicles make use of intricate machine learning algorithms to adapt their behavior to dynamic conditions in their operating environment. These machine learning algorithms provide an additional attack surface for an adversary to exploit in order to perform a cyberattack. Since an attack on robotic systems such as autonomous vehicles have the potential to cause great damage and harm to humans, it is essential that detection and defenses of these attacks be explored. This paper discusses the plausibility of direct and indirect cyberattacks on a machine learning model through the use of a virtual autonomous vehicle operating in a simulation environment using a machine learning model for control. Using this vehicle, this paper proposes various methods of detection of cyberattacks on its machine learning model and discusses possible defense mechanisms to prevent such attacks.

关键词： Cybersecurity machine learning robotics artificial intelligence simulation

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A stochastic jump model applied to collaborative queue-based high energy laser defense

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JOURNAL OF defense modeling AND simulation-applications METHODOLOGY TECHNOLOGY-JDMS 2025年第2期22卷 187-195页

作者： Kracman, Mitchell M. Def Sci & Technol Grp Third Ave Edinburgh SA 5111 Australia

High energy lasers (HELs) are evolving to provide an effective solution for air and missile defense. The emergence of this technology comes at a similar time to the development of cooperative and collaborative defense systems that collect and communicate data to inform decisions. This paper proposes a stochastic jump method for modeling the performance of networked HELs, defending against aerial threats which follow a queueing methodology. By drawing on an existing method that quantifies performance using the sum of sojourn times in a stochastic jump process, the model can predict the probability of survival when multiple effectors are tasked in defending against an arbitrary number of threats. The model can be applied more generally to processes with both waiting time-dependent service and finite existence. Furthermore, a new HEL counteraction probability model is developed to enable the demonstration and comparison of three different system collaboration methods in a future warfare application. Results suggest the prevailing superimposing laser strategy may be less effective than simple one-to-one allocation of lasers to threats. There may also be merit in targeting separate components of a threat's structure.

关键词： High energy lasers directed energy weapons stochastic modeling queueing system air and missile defense collaborative defense

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A simulation-based analysis for optimal placement of anti-tank obstacles in armored warfare

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JOURNAL OF defense modeling AND simulation-applications METHODOLOGY TECHNOLOGY-JDMS 2025年

作者： Palasiewicz, Tibor Rolenec, Ota Lacinova, Veronika Bilina, Michal Univ Def Kounicova 65 Brno 66210 Czech Republic Univ Def Fac Mil Leadership Brno Czech Republic

This study evaluated the effect of anti-tank barrier placement on the results of defensive operations in open terrain using the MASA Sword simulation tool. The experiments included scenarios in which defenders faced a superior number of attacking units at a 1:3 ratio. A linear minefield was placed in the battlespace at various distances from defensive positions (0-3500 m). After 50 repetitions for each variant and subsequent statistical analysis, it was found that the optimal effect occurred when the barrier was placed approximately 1500 m from the defensive positions. At this distance, the lowest defender losses and highest attacker losses were achieved. Although the simulation was conducted under ideal conditions, this study confirms the significance of properly integrating barriers into defense systems. This suggests that a properly positioned barrier can contribute significantly to successful defense against numerous enemies. The results provide an opportunity for further research involving different types of terrains, weapon system combinations, and other factors.

关键词： Military simulation anti-tank obstacles armored warfare modeling and simulation MASA sword operational analysis Kruskal-Wallis test effectiveness of barriers

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Interoperability analysis via agent-based simulation

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JOURNAL OF defense modeling AND simulation-applications METHODOLOGY TECHNOLOGY-JDMS 2024年第1期21卷 103-116页

作者： Pescatore, Melissa Beery, Paul Naval Postgrad Sch Syst Engn Dept Monterey CA 93943 USA Naval Postgrad Sch Syst Engn Syst Engn Dept Monterey CA 93943 USA

This paper demonstrates an approach for the use of agent-based simulation, supported by model-based systems engineering products, to analyze interoperability. To demonstrate the approach, a representative maritime search-and-rescue (SAR) operation is simulated in the agent-based simulation program Map-Aware Non-Uniform Automata (MANA). The MANA SAR model is used to assess interoperability decisions at organizational, operational, and technical levels and to highlight dependencies between decisions at each level of interoperability. Analysis indicates that, within the MANA SAR model, organizational interoperability decisions have the largest impact on operational performance but that organizational challenges may be overcome with substantial investment at both the operational and technical levels of interoperability.

关键词： Agent-based simulation interoperability operational modeling model-based systems engineering

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Design and simulation of a Dependable Architecture Using Triple Modular Redundancy for Embedded Cyber-Physical systems

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JOURNAL OF ELECTRONIC TESTING-THEORY AND applications 2025年第1期41卷 63-74页

作者： Mahmood, Hamed A. Khairullah, Shawkat S. Univ Mosul Coll Engn Dept Comp Engn Mosul Iraq

Fault-tolerance and dependable digital systems are now used in a diverse set of safety critical and cyber physical systems (CPSs) applications like healthcare instrumentation and control (I&C) devices, aerospace, smart cities, and military systems. The architectural design principles required for achieving dependability in these systems vary as much as the safety-critical CPS system formal requirements and specifications. CPSs are composed of embedded hardware, specialized software, algorithms, and computation-based models interconnected to integrate computational and physical components. In this paper, we present the design, modeling and simulation of a reliable and secure microcontroller-based hardware architecture using a heterogenous design approach that combines concepts from computer-based architectural system design, state machine diagram, and traditional fault-tolerance, and defense in depth techniques. The proposed dependable architecture consists of a variety of software and hardware components: a sensing unit, a processing unit, and an actuating unit, interconnected to monitor the status of different physical quantities such as temperature, water and gas physical quantities. The simulation-based experimental results demonstrate the resilient operation of the proposed fault-tolerant hardware CPS system that achieves the highest reliability 0.999833345 with the failure-rate 0.03 failure per hour at the time equal to 15 min and how it is used in executing safety and security tasks. The reliability level of the TMR system remains high in the three different failure rate assumptions and is not less than 0.98. Consequently, we think that using such fault tolerant hardware architectures with the failure rate 0.03 failure per hour in embedded systems will lead to strengthen the reliability of next generation smart-home CPS applications.

关键词： Fault-tolerance Embedded Dependability Reliable Architecture Cyber-physical-system

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Simulating autonomous drone behaviors in an anti-access area denial (A2AD) environment

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JOURNAL OF defense modeling AND simulation-applications METHODOLOGY TECHNOLOGY-JDMS 2024年

作者： Martinez, Alexander L. Champagne, Lance E. LaCasse, Phillip M. Air Force Inst Technol 2950 Hobson Way Wright Patterson Afb OH 45433 USA

Army senior military leaders are invested in acquiring modernized aerial platforms and equipment to augment the US Army's ability to overcome Anti-Access Area Denial (A2AD) threats imposed by modern Integrated Air defense systems (IADS). A prominent element of this modernization effort is the employment of autonomous drones to defeat IADS threats while minimizing risk to Army Soldiers. This research utilizes a framework for classifying the levels of autonomous capability along three dimensions: the ability to act alone, the ability to cooperate, and the ability to adapt. A virtual combat model, created using the Advanced Framework for simulation, Integration, and modeling (AFSIM), simulates the engagement between an enemy IADS and a friendly formation comprised of autonomous drones, attack helicopters, and a Long Range Precision Fires (LRPF) capability. A designed experiment evaluates drone performance with varying levels of autonomy. The experimental results reveal that low levels of autonomy yield a 20.74% increase in survivability and a 5.52% increase in lethality.

关键词： Autonomous systems agent-based modeling contested environment A2AD

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A prize-dependent loitering time approach to UAS routing: application to South China Sea maritime domain awareness

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JOURNAL OF defense modeling AND simulation-applications METHODOLOGY TECHNOLOGY-JDMS 2025年

作者： Sadov, Tim Sharp, Travis Booz Allen Hamilton Washington DC USA Ctr Strateg & Budgetary Assessments Washington DC USA

This article advances the geographic grid approach to military unmanned aircraft systems (UAS) routing featured in the existing literature. Its contributions are twofold. First, it demonstrates an empirical scoring system to determine the most important areas for maritime domain awareness-focused intelligence, surveillance, and reconnaissance collection, applying the method to the South China Sea. Second, it introduces what we call the "team orienteering problem with prize-dependent loitering times" (TOP-PDLT) and uses that model to identify optimal UAS collection routes in the South China Sea. Compared with other grid-based UAS routing schemes that use service time-dependent profits, TOP-PDLT is shown to be particularly applicable to military use-cases.

关键词： modeling and simulation stochastic optimization intelligence surveillance and reconnaissance and intelligence analysis unmanned systems

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Research on visual simulation for complex weapon equipment interoperability based on MBSE

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MULTIMEDIA TOOLS AND applications 2024年第5期83卷 13463-13482页

作者： Yang, Haigen Xia, Zhun Chen, Yanqing Zhu, Linqun Dai, Luohao Xu, Ruotian Sun, GuiYing Yu, Hongyang Xu, Wenting Nanjing Univ Posts & Telecommun Engn Res Ctr Wider & Wireless Commun Technol Minist Educ 21003 Nanjing Peoples R China Chinese Peoples Liberat Army 61416 Beijing 100089 Peoples R China Beijing Electromech Engn Inst Beijing 100074 Peoples R China

As military reforms continue to develop, the battlefield environment is becoming increasingly complex, and traditional single-service combat methods have evolved into integrated joint and collaborative information operations that break down service boundaries on land, sea, and air. The level of weapon system confrontation has also evolved into a system-to-system confrontation. Traditional document-based system architecture design methods can no longer address the complexity and emergent challenges of weapon system construction. In this paper, based on model-driven system engineering, an open, integrated, model-driven weapon equipment interaction system that supports human interaction was constructed using the SysML modeling language and Magicdraw modeling tool. The Unreal Engine 4 landscape building function was used to construct a virtual battlefield environment, and a communication server was developed using C# language to perform visual simulation of interoperability between weapon systems. Based on model-driven weapon equipment interoperability, visual simulation is used to ensure that the function of the weapon equipment system meets the requirements of combat and the combat effectiveness of the system is maximized.

关键词： MBSE Interoperability simulation UE4 SysML MagicDraw

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MAGMA: Microbial and Algal Growth modeling Application

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NEW BIOTECHNOLOGY 2025年 85卷 16-22页

作者： Xu, vincent A. Lee, Hakyung Long, Bin Yuan, Joshua Tang, Yinjie J. Washington Univ St Louis Dept Energy Environm & Chem Engn St Louis MO 63130 USA

Kinetic modeling of biochemical reactions and bioreactor systems can enhance and quantify knowledge gained from cell culture experiments and has many applications in bioprocess design and optimization. The Microbial and Algal Growth modeling Application (MAGMA) is a user-friendly MATLAB-based software for streamlining the development of kinetic models for various bioreactor systems. This study details the MAGMA workflow by demonstrating the creation of kinetic models with systems of ordinary differential equations (ODEs), model fitting by solving inverse problems, statistical evaluation of model fitting quality, and visual display of simulation results. Two case studies (microalgae growth and Rhodococcus jostii plastic fermentation) have been provided to validate MAGMA applicability. It also includes a proof-of-concept for utilizing OpenAI GPT-4o's graph interpretation capability to automate tabulation of time course culture data from figures/plots in relevant literature, which can be used to calibrate model parameters. MAGMA is open source and compiled with MATLAB Runtime.

关键词： Bioreactor GPT-4o Kinetic modeling ODEs Regression Microalgae

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