![]() Rex roars from Jurassic Fight Club.Ī tunneling synapsid creature, Baragon's special ability is to dig underground and become invisible. Baragon also has stout legs and large and brightly detailed claws with the thumb claw being larger, similar to many theropod dinosaurs.Īdditionally, Baragon is one of, if not, the physically smallest of all the Earth Guardian monsters on record.īaragon roars and sounds are mixed with leopard, elephant, crocodile, the T. It has realistic-looking eyes, which are bright amber with large pupils. He is a four-legged mammal-like reptilian creature with dark reddish-brown skin, an orange nasal horn on his forehead, very large, wide, floppy ears (which are reduced in size and protrude slightly sideways rather than back towards the head), head spikes, and a ridged back. Godzilla: The King of the Monsters The Series Season 3 Will of the Larvae Trio īaragon resembles a cross between a dinosaur and a canine. 2 Godzilla: The King of the Monsters The Seriesīaragon is an ancient subterranean prehistoric guardian monster that burrowed underground and survived the Permian-Triassic extinction event while most other lifeforms died.Mylyaganam, T., Sassano, M., Astolfi, A.: Differential game approach to multi-agent collision avoidance. Xu, J., Shi, J., Zhang, H.: A leader-follower stochastic linear quadratic differential game with time delay. In: Proceedings of 2014 International Conference on Modelling, Identification & Control, pp. 371–376. ![]() Mao, S., Wang, Y.J., Liu, L: Bounded guidance law based on differential game for three-player conflict. (eds.) Computational Intelligence, Theory and Applications. 3(3), 185–204 (2015)Īkabari, S., Menhaj, M.B., Nikravesh, S.K: Fuzzy modeling of offensive maneuvers in an air-to-air combat. 47(1), 10–17 (2010)Įrnest, N., Cohen, K., Kivelevitch, E., et al.: Genetic fuzzy trees and their application towards autonomous training and control of a squadron of unmanned combat aerial vehicles. Kouba, G., Botez, R.M., Boely, N.: Fuzzy logic method use in F/A-18 aircraft model identification. Li, Y., Han, W., Wang, Y.Q.: Deep reinforcement learning with application to air confrontation intelligent decision-making of manned/Unmanned aerial vehicle cooperative system. Z., et al: Maneuver strategy generation of UCAV for within visual range air combat based on multi-agent reinforcement learning and target position prediction. In: 2020 IEEE International Conference on Systems, Man, and Cybernetics, pp. ![]() Johan, K., Fredrik, H.: Agent coordination in air combat simulation using multi-agent deep reinforcement learning. Sun, Z.X., Piao, H.Y., Yang, Z., et al.: Multi-agent hierarchical policy gradient for air combat tactics emergence via self-play. Poropudas, J., Virtanen, K.: Game-theoretic validation and analysis of air combat simulation models. 17(2), 204–213 (2016)Ĭhe, J., Qian, W.Q., He, Z.C.: Attack-defense confrontation simulation of air combat based on game-matrix approach. Park, H., Lee, B.Y., Tahk, M.J., et al.: Differential game based air combat maneuver generation using scoring function matrix. KeywordsĪustin, F., Carbone, G., Hinz, H., et al.: Game theory for automated maneuvering during air-to-air combat. The results show that a multi-UCAV autonomous air combat strategy using cooperative decision factor is superior to the one that does not use cooperative decision factor. Finally, numerical simulations of multi-UCAV air combat are given to demonstrate the effectiveness of the proposed approach. Through the above improvements, the individual state of UCAV and global state of the system can reach the optimal state at the same time. In this paper, the brute force algorithm is utilized for searching the optimal strategy. On this basis, the objective function is improved and the cooperative decision factor is combined. ![]() On the basis of establishing the situation relationship with the enemy, conceiving the connection between the cooperative UCAVs, the collaborative decision factor is designed and the membership function is constructed by using fuzzy theory, which ensures the robustness of the system, and a way of thinking for establishing other tactical constraint relationships between cooperative UCAVs is provided. Consider the problem of maneuver decision-making in multi-UCAV autonomous air combat, a maneuver decision-making method is proposed based on fuzzy theory.
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