Multi-UUV Maneuvering Counter-Game for Dynamic Target Scenario Based on Fractional-Order Recurrent Neural Network

• Published in: IEEE transactions on cybernetics Vol. 53; no. 6; pp. 4015 - 4028
• Main Authors: Liu, Lu, Zhang, Shuo, Zhang, Lichuan, Pan, Guang, Yu, Junzhi
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.06.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Decision making; fractional calculus; Fuzzy sets; Game theory; Games; Heuristic algorithms; interval fuzzy game theory; Maneuvers; multi-underwater unmanned vehicle (UUV); Neural networks; Optimization; recurrent neural network (RNN); Recurrent neural networks; Strategy; Uncertainty; Underwater; Unmanned vehicles; Vehicle dynamics

In this article, a multi-underwater unmanned vehicle (UUV) maneuvering decision-making algorithm is proposed for a counter-game with a dynamic target scenario. The game is modeled with interval-valued intuitionistic fuzzy rules, and an optimal maneuvering strategy is realized using a fractional-orde...