Zhang, H, Yue, D, Dou, C et al. (3 more authors) (Accepted: 2021) Resilient optimal defensive strategy of TSK fuzzy-model-based micro-grids system via a novel reinforcement learning approach. IEEE Transactions on Neural Networks and Learning Systems. ISSN 2162-237X (In Press)
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Copyright, Publisher and Additional Information: | This item is protected by copyright . Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
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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: | 03 Feb 2022 09:11 |
Status: | In Press |
Publisher: | Institute of Electrical and Electronics Engineers |