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This paper presents an adaptive fuzzy neural network (FNN) controller for missile guidance, aiming to intercept an attacking missile (AM) using a defending missile (DM) in a dynamic environment. The proposed controller combines fuzzy rules with neural networks to improve robustness and reduce computational load compared to traditional methods like cerebellar model articulation controllers (CMAC). Simulation results demonstrate the effectiveness of the adaptive FNN controller in achieving accurate missile gu

Author

Nguyen Hoang

Language

EN