Resilient Optimal Defensive Strategy of TSK Fuzzy-Model-Based Microgrids' System via a Novel Reinforcement Learning Approach

Zhang, H, Yue, D, Dou, C et al. (3 more authors) (2021) Resilient Optimal Defensive Strategy of TSK Fuzzy-Model-Based Microgrids' System via a Novel Reinforcement Learning Approach. IEEE Transactions on Neural Networks and Learning Systems. ISSN 2162-237X

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Keywords: Microgrids; reinforcement learning (RL); resilient optimal defensive; Takagi-Sugeuo-Kang (TSK) fuzzy system
Dates:
  • Accepted: 14 August 2021
  • Published (online): 31 August 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 17 Aug 2021 09:12
Last Modified: 13 Mar 2023 16:15
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers
Identification Number: https://doi.org/10.1109/TNNLS.2021.3105668

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