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This paper presents the analysis and design of an adaptive parameter estimator for power electronics circuits. Adaptive parameter estimation has been demonstrated to be a useful technique for enabling novel controls, monitoring, and fault diagnosis techniques in power electronics systems. We present an analysis of factors that affect the performance, stability, and feasibility of a gradient-type parameter...
This paper proposes an adaptive filtering system where a least-square algorithm and a stochastic gradient algorithm are alternately switched depending on its operational mode. The switching mechanism is quite simple and realized with a small amount of computational cost. Several numerical examples show that the resulting filter could achieve both sufficiently fast convergence and enhanced robustness...
This paper addresses adaptive channel estimation for time-varying mobile wireless channels with nonstationary statistics. We presents a reduced complexity adaptive channel estimator based on a set membership filtering approach known as the Optimal Bounding Ellipsoid (OBE) algorithm. To exploit time and frequency domain correlation properties of the channel in an efficient low-complexity way, we allow...
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