effectively identify personalized skin parameters. Finally, a self-tuning impedance control strategy is designed to accommodate …

For the multisensor linear discrete system with correlated noises and same measurement matrix, the self-tuning weighted … handle the self-tuning fused Kalman filtering, smoothing, and prediction problem and the input white noise deconvolution … estimation problem. By the dynamic variance error system analysis (DVESA) method, it is proved that the solution of the self-tuning …

-sampling learning, and payoff-sampling learning. With this models and together with the models of self- tuning EWA learning and …

-sampling learning, and payoff-sampling learning. With this models and together with the models of self- tuning EWA learning and …

produces an automatic self-tuning of the model parameters for each particular wind farm. We show that this brings the models …

models, together with the models of self-tuning EWA and reinforcement learning, are applied to 12 different 2×2 games and … experimental data on the aggregate level, individual behavior is best described by self-tuning EWA. Nevertheless, impulse …-matching learning has the second-highest score for the individual data. In addition, only self-tuning EWA and impulse-matching learning …