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New development thoughts on the bio-inspired intelligence based control for unmanned combat aerial vehicle

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Abstract

Bio-inspired intelligence is in the spotlight in the field of international artificial intelligence, and unmanned combat aerial vehicle (UCAV), owing to its potential to perform dangerous, repetitive tasks in remote and hazardous, is very promising for the technological leadership of the nation and essential for improving the security of society. On the basis of introduction of bio-inspired intelligence and UCAV, a series of new development thoughts on UCAV control are proposed, including artificial brain based high-level autonomous control for UCAV, swarm intelligence based cooperative control for multiple UCAVs, hybrid swarm intelligence and Bayesian network based situation assessment under complicated combating environments, bio-inspired hardware based high-level autonomous control for UCAV, and meta-heuristic intelligence based heterogeneous cooperative control for multiple UCAVs and unmanned combat ground vehicles (UCGVs). The exact realization of the proposed new development thoughts can enhance the effectiveness of combat, while provide a series of novel breakthroughs for the intelligence, integration and advancement of future UCAV systems.

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Authors and Affiliations

  1. State Key Laboratory of Science and Technology on Holistic Flight Control, School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing, 100191, China

    HaiBin Duan

  2. Flight Control Department, Shenyang Aircraft Design and Research Institute, Shenyang, 110035, China

    Shan Shao

  3. Beijing Institute of Near Space Vehicle’s System Engineering, Beijing, 100076, China

    BingWei Su

  4. Integration and Project Section, Air Force Equipment Academy, Beijing, 100085, China

    Lei Zhang

Authors
  1. HaiBin Duan
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  2. Shan Shao
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  3. BingWei Su
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  4. Lei Zhang
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Correspondence to HaiBin Duan.

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Duan, H., Shao, S., Su, B. et al. New development thoughts on the bio-inspired intelligence based control for unmanned combat aerial vehicle. Sci. China Technol. Sci. 53, 2025–2031 (2010). https://doi.org/10.1007/s11431-010-3160-z

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  • DOI: https://doi.org/10.1007/s11431-010-3160-z

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