Improved Transients in Multiple Frequencies Estimation via Dynamic Regressor Extension and Mixing

نویسندگان

  • Stanislav Aranovskiy
  • Alexey A. Bobtsov
  • Romeo Ortega
  • Anton A. Pyrkin
چکیده

A problem of performance enhancement for multiple frequencies estimation is studied. First, we consider a basic gradientbased estimation approach with global exponential convergence. Next, we apply dynamic regressor extension and mixing technique to improve transient performance of the basic approach and ensure non-strict monotonicity of estimation errors. Simulation results illustrate benefits of the proposed solution.

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عنوان ژورنال:
  • CoRR

دوره abs/1604.01928  شماره 

صفحات  -

تاریخ انتشار 2016