Simulation of fuzzy neural network algorithm in dynamic nonlinear system
J Zeng, MO Alassafi, K Song - Fractals, 2022 - World Scientific
The identification of nonlinear system is studied to establish an accurate model of
coordination system. The original dynamic fuzzy neural network (DFNN) is first used to …
coordination system. The original dynamic fuzzy neural network (DFNN) is first used to …
Current-Constrained Control for PMSM Based on Port-Controlled Hamiltonion System and Deep Deterministic Policy Gradient
M Wang, Q Wang, B Chu, Y Liu - Proceedings of 2021 Chinese Intelligent …, 2022 - Springer
This paper proposes a current-constrained control approach on the basis of port-controlled
Hamiltonion (PCH) system and deep deterministic policy gradient (DDPG) for permanent …
Hamiltonion (PCH) system and deep deterministic policy gradient (DDPG) for permanent …
Action-Insensitive Embodied Visual Navigation
Embodied visual navigation is an important task that the agent learns to navigate to a
specific target object based on egocentric visual observations, by performing specific actions …
specific target object based on egocentric visual observations, by performing specific actions …
Deep Learning for Smart Grid Applications
MM Hasan - 2022 - ttu-ir.tdl.org
In an effort to prevent climate change and make clean energy accessible to all, the global
community is shifting away from electricity generation from fossil fuels and toward renewable …
community is shifting away from electricity generation from fossil fuels and toward renewable …