A new recursive least squares method with multiple forgetting schemes

We propose a recursive least squares method with multiple forgetting schemes to track time-varying model parameters which change with different rates. Our approach hinges on the reformulation of the classic recursive least squares with forgetting scheme as a regularized least squares problem. A simulation study shows the effectiveness of the proposed method.