Multi-agent System of Autonomous Underwater Vehicles in Octagon Formation
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-33-6081-5_12
Reference19 articles.
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2. Panda, M., Das, B.: Grey wolf optimizer and its applications: a survey. In: Proceedings of the Third International Conference on Microelectronics, Computing and Communication Systems, pp. 179–194. Springer (2019)
3. Panda, M., Das, B., Pati, B.B.: Grey wolf optimization for global path planning of autonomous underwater vehicle. In: Proceedings of the Third International Conference on Advanced Informatics for Computing Research—ICAICR’19, pp. 1–6. ACM Press, Shimla, India (2019)
4. Das, B., Subudhi, B., Bhusan Pati, B.: Adaptive sliding mode formation control of multiple underwater robots. Arch. Control Sci. 24, 515–543 (2014)
5. Panda, M., Das, B., Pati, B.B.: A hybrid approach for path planning of multiple AUVs. In: Sharma, R., Mishra, M., Nayak, J., Naik, B., Pelusi, D. (eds.) Innovation in Electrical Power Engineering, Communication, and Computing Technology, pp. 327–338. Springer, Singapore (2020)
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