Intelligent decision making for UAV based on Monte Carlo Simulation

Yunhong Ma, Hao Liu, Yaozhong Zhang, Qiang He, Zhao Xu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Unmanned Air Vehicle (UAV) is an advanced automatic system. In the future, UAV will have an important role. In order to enhance the autonomous capability of UAV, The intelligent maneuver decision-making for UAV is studied. Firstly, a confrontation process based on Monte Carlo simulation is completed, and it is used to predict the maneuver behavior of UAV. Secondly, a multidimensional cloud model is used to access the situation of the UAV after different maneuver behavior. The final maneuver decision is chosen based on the evaluation results. A real-time simulation between UAV of our side and the opposite side under the pairwise confrontation is implemented. The aircraft model in SIMULINK of MATTLAB is used. The simulation result shows that maneuver action from decision making method which is based on Monte Carlo process simulation and multidimensional cloud model evaluation is validity and effective.

Original languageEnglish
Title of host publication2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages521-525
Number of pages5
ISBN (Electronic)9781538695821
DOIs
StatePublished - 18 Dec 2018
Event15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 - Singapore, Singapore
Duration: 18 Nov 201821 Nov 2018

Publication series

Name2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

Conference

Conference15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
Country/TerritorySingapore
CitySingapore
Period18/11/1821/11/18

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