Design space exploration in aircraft conceptual design phase based on system-of-systems simulation

Tian, Yifeng; Liu, Hu; Huang, Jun

doi:10.5139/ijass.2015.16.4.624

Cited by 7 publications

(2 citation statements)

References 21 publications

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“…Accordingly, the complexity of ABS was also leveraged as a critical issue in Ref. [35]. Here, the authors simulated an earthquake crisis rescue scenario, and they stressed that the key step in behavioral modeling is to set the so-called "state-switch" rules to represent reality under any external condition.…”

Section: Agent-based Simulationsmentioning

confidence: 99%

Multidisciplinary and Multifidelity Framework for Evaluating System-of-Systems Capabilities of Unmanned Aircraft

Παπαγεωργίου¹,

Ölvander²,

Amadori³

et al. 2020

Journal of Aircraft

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Section: Agent-based Simulationsmentioning

confidence: 99%

Multidisciplinary and Multifidelity Framework for Evaluating System-of-Systems Capabilities of Unmanned Aircraft

Παπαγεωργίου¹,

Ölvander²,

Amadori³

et al. 2020

Journal of Aircraft

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show abstract

“…Durand et al [1] further improved the framework by replacing the sequential optimization with global optimization and applied it to the multi-robot system design for mapping and exploration. Similarly, Tian et al [5] proposed a combination of parameters, objective analysis, operational simulation, keyparameters analysis (COOK) framework of the SoS oriented design space exploration for UAV-helicopter groups, which contains four steps: combination of parameters, object analysis, operational simulation, and key-parameter analysis.…”

Section: Introductionmentioning

confidence: 99%

Improved method for subsystems performance trade-off in system-of-systems oriented design of UAV swarms

Zhang

Song

Pei

et al. 2019

Journal of Systems Engineering and Electronics

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For the rapidly developing unmanned aerial vehicle (UAV) swarm, the system-of-systems (SoS) oriented design is a prospective conceptual design methodology due to the competence for complex mission requirements and subsystems interactions. In the SoS oriented design, the subsystems performance trade-off is the basis of design decisions. In the trade-off for surveillance missions, most previous works do not consider track reporting and mainly focus on the design of platforms. An improved method for the subsystems performance trade-off in the SoS oriented UAV swarm design is proposed. Within an improved design framework with subsystems disaggregation, this method is characterized by treating platforms, sensors, and communications as equally important subsystems, integrating operational strategies into the trade-off, and enabling the trade-off for track reporting. Those advantages are achieved by a behavior-based modular model structure for agent-based operational modeling and simulation. In addition, a method of analyzing the bounds of the communication range is also presented. Simulation experiments are conducted by using precision-based simulation replication rules and surrogate modeling methods. The results demonstrate the effectiveness of the proposed method, and show that the configuration of area partitioning changes the trade space of subsystems performances, indicating the necessity of integrating operational strategies into the conceptual design.

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Decision Support Multi-agent Modeling and Simulation of Aeronautic Marine Oil Spill Response

Liu

Tian

et al. 2023

Smart Innovation, Systems and Technologies

Self Cite

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Due to the lack of real multi-agent data and timeconsuming of labeling, existing multi-agent cooperative perception algorithms usually select the simulated sensor data for training and validating. However, the perception performance is degraded when these simulation-trained models are deployed to the real world, due to the significant domain gap between the simulated and real data. In this paper, we propose the first Simulation-to-Reality transfer learning framework for multiagent cooperative perception using a novel Vision Transformer, named as S2R-ViT, which considers both the Implementation Gap and Feature Gap between simulated and real data. We investigate the effects of these two types of domain gaps and propose a novel uncertainty-aware vision transformer to effectively relief the Implementation Gap and an agentbased feature adaptation module with inter-agent and egoagent discriminators to reduce the Feature Gap. Our intensive experiments on the public multi-agent cooperative perception datasets OPV2V and V2V4Real demonstrate that the proposed S2R-ViT can effectively bridge the gap from simulation to reality and outperform other methods significantly for point cloud-based 3D object detection.

show abstract

Design space exploration in aircraft conceptual design phase based on system-of-systems simulation

Cited by 7 publications

References 21 publications

Multidisciplinary and Multifidelity Framework for Evaluating System-of-Systems Capabilities of Unmanned Aircraft

Multidisciplinary and Multifidelity Framework for Evaluating System-of-Systems Capabilities of Unmanned Aircraft

Improved method for subsystems performance trade-off in system-of-systems oriented design of UAV swarms

Decision Support Multi-agent Modeling and Simulation of Aeronautic Marine Oil Spill Response

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