A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 5 Issue 3
May  2018

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Dianwei Qian and Guoliang Fan, "Neural-Network-Based Terminal Sliding Mode Control for Frequency Stabilization of Renewable Power Systems," IEEE/CAA J. Autom. Sinica, vol. 5, no. 3, pp. 706-717, Mar. 2018. doi: 10.1109/JAS.2018.7511078
Citation: Dianwei Qian and Guoliang Fan, "Neural-Network-Based Terminal Sliding Mode Control for Frequency Stabilization of Renewable Power Systems," IEEE/CAA J. Autom. Sinica, vol. 5, no. 3, pp. 706-717, Mar. 2018. doi: 10.1109/JAS.2018.7511078

Neural-Network-Based Terminal Sliding Mode Control for Frequency Stabilization of Renewable Power Systems

doi: 10.1109/JAS.2018.7511078
Funds:

National Natural Science Foundation of China 60904008

National Natural Science Foundation of China 61273336

the Fundamental Research Funds for the Central Universities 2018MS025

the National Basic Research Program of China (973 Program) B1320133020

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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