A novel cooperative searching architecture for multi‐unmanned aerial vehicles under restricted communication

Author:

Ran Huanhuan1,Sun Liang2,Cheng Shu3,Ma Yunfeng3,Yan Shan4,Meng Shunkai5,Shi Kaibo6,Wen Shiping7ORCID

Affiliation:

1. School of Electronic Science and Engineering (National Exemplary School of Microelectronics) University of Electronic Science and Technology of China Chengdu China

2. Chern Institute of Mathematics Nankai University Tianjin China

3. TengDen Technology Co. Ltd. Chengdu China

4. Second Research Institute of Civil Aviation Administration of China (CAAC) Chengdu China

5. Chengdu Creation Technology Co. Ltd. Chengdu China

6. School of Information Science and Engineering Chengdu University Chengdu China

7. Australian Artificial Intelligence Institute, Faculty of Engineering and Information Technology University of Technology Sydney Ultimo New South Wales Australia

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Control and Systems Engineering

Reference39 articles.

1. T. H.ChungandJ. W.Burdick A decision‐making framework for control strategies in probabilistic search Proceedings 2007 IEEE International Conference on Robotics and Automation. IEEE Rome Italy 2007 pp.4386–4393.

2. Technical Note—Trading Off Quick versus Slow Actions in Optimal Search

3. A probabilistic framework for object search with 6-DOF pose estimation

4. Periodic event‐triggered synchronization of multiple memristive neural networks with switching topologies and parameters mismatch;Wang S.;IEEE Trans. Cybern.,2020

5. Projective synchronization of neural networks via continuous/periodic event‐based sampling;Wang S.;IEEE Trans. Netw. Sci. Eng.,2020

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