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"Analytical parameter tuning for a class of extended disturbance observ" by Yinlong Hu, Xuhao Cai et al.

This paper studies the parameter tuning problem for a class of extended disturbance observers (EDO) and the EDO-based sliding mode control (SMC). Based on a H2 optimization technique, analytical solutions for the parameter tuning of the EDO and the EDO-based SMC are obtained. The conditions under which higher-order EDOs are strictly better than lower-order EDOs are derived analytically. Furthermore, the steady-state performance of the EDO-based SMC is analyzed, where it is shown that the improvement of the tracking accuracy of the EDO can reduce the sensitivity of the state variables and the control input with respect to the controller parameters. This implies that the SMC parameter tuning requirement can be reduced if a high tracking accuracy of the EDO is guaranteed. Finally, the application to the active structural control problem of an offshore wind turbine is studied and the effectiveness of the obtained results is demonstrated based on a National Renewable Energy Laboratory (NREL ....

National Renewable Energy Laboratory , Extended Disturbance Observer , Offshore Wind Turbine , Parameter Tuning , Performance Analysis , Sliding Mode Control ,

Oracle Announces MySQL HeatWave ML--the Easiest, Fastest, and Least Expensive Way for Developers to Add Powerful Machine Learning Capabilities to their MySQL Applications

/PRNewswire/ Oracle today announced that Oracle MySQL HeatWave now supports in-database machine learning (ML) in addition to the previously available. ....

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