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 10 Issue 1
Jan.  2023

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Z. H. Peng, M. G. Lv, L. Liu, and D. Wang, “Data-driven learning extended state observers for nonlinear systems: Design, analysis and hardware-in-loop simulations,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 1, pp. 290–293, Jan. 2023. doi: 10.1109/JAS.2023.123051
Citation: Z. H. Peng, M. G. Lv, L. Liu, and D. Wang, “Data-driven learning extended state observers for nonlinear systems: Design, analysis and hardware-in-loop simulations,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 1, pp. 290–293, Jan. 2023. doi: 10.1109/JAS.2023.123051

Data-Driven Learning Extended State Observers for Nonlinear Systems: Design, Analysis and Hardware-in-Loop Simulations

doi: 10.1109/JAS.2023.123051
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