267 research outputs found
Improved Transients in Multiple Frequencies Estimation via Dynamic Regressor Extension and Mixing
A problem of performance enhancement for multiple frequencies estimation is
studied. First, we consider a basic gradient-based 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.Comment: This paper is submitted for the ALCOSP 2016 conferenc
Identification of Photovoltaic Arrays' Maximum Power Extraction Point via Dynamic Regressor Extension and Mixing
This paper deals with the problem of identification of photovoltaic arrays'
maximum power extraction point---information that is encrypted in the
current-voltage characteristic equation. We propose a new parameterisation of
the classical five parameter model of this function that, combined with the
recently introduced identification technique of dynamic regressor extension and
mixing, ensures a fast and accurate estimation of all unknown parameters. A
concavity property of the current-voltage characteristic equation is then
exploited to directly identify the desired voltage operating point. Realistic
numerical examples via computer simulations are presented to assess the
performance of the proposed approach.Comment: This paper is submitted to th International Journal of Adaptive
Control and Signal Processin
Generalized Parameter Estimation-based Observers: Application to Power Systems and Chemical-Biological Reactors
In this paper we propose a new state observer design technique for nonlinear
systems. It consists of an extension of the recently introduced parameter
estimation-based observer, which is applicable for systems verifying a
particular algebraic constraint. In contrast to the previous observer, the new
one avoids the need of implementing an open loop integration that may stymie
its practical application. We give two versions of this observer, one that
ensures asymptotic convergence and the second one that achieves convergence in
finite time. In both cases, the required excitation conditions are strictly
weaker than the classical persistent of excitation assumption. It is shown that
the proposed technique is applicable to the practically important examples of
multimachine power systems and chemical-biological reactors.Comment: 13 pages, 8 figure
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