Abstract: Based on the problem how to model Seemingly Unrelated linear models with different batches of samples, the paper raises the method of getting rid of the stale and taking in the fresh. The ...

Abstract: This paper mainly studies the modeling and identification problems for fractional order systems. A novel modeling scheme based on an online identification technique is investigated. Firstly, ...

Online learning is crucial to robust visual object tracking as it can provide high discrimination power in the presence of background distractors. However, there are two contradictory factors ...

The estimation problem in the linear model with prior information on a subvector of parameters is studied. The recursive least squares algorithm is extended to the case of singular matrices of ...

This article checks, using both real and simulated data, the effectiveness of modern adaptive techniques to track the parameters of time-varying dynamic models. The real case studies concern a bone ...