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Decentralized Electric Vehicle Charging Strategies for Reduced Load Variation and Guaranteed Charge Completion in Regional Distribution Grids
A novel, fully decentralized strategy to coordinate charge operation of electric vehicles is proposed in this paper. Based on stochastic switching control of on-board chargers, this strategy ensuresExpand
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A shift in paradigm for system identification
TLDR
We provide an accessible account of the main ideas and results of kernel-based regularisation methods for system identification. Expand
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Hankel matrices for system identification
Abstract The coefficients of a linear system, even if it is a part of a block-oriented nonlinear system, normally satisfy some linear algebraic equations via Hankel matrices composed of impulseExpand
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From wiener filtering to recent advances on complexity-based system identification and state estimation
Wiener filters laid a foundation for optimal signal estimation under stochastic noises and have influenced development of filtering technologies in signal processing, estimation, identification, andExpand
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Recursive identification of Hammerstein with noisy observations
Abstract The paper considers the recursive identification of Hammerstein systems with noisy output, while its input may or may not be corrupted by noise. The system in the latter case is usuallyExpand
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Multiple Kernel Based Regularized System Identification with SURE Hyper-parameter Estimator
TLDR
We study the multiple kernel based regularized system identification with the hyper-parameter estimated by using the Stein’s unbiased risk estimators (SURE) and propose an algorithm to solve the problem in an efficient and accurate way. Expand
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Flexible Grouping for Enhanced Energy Utilization Efficiency in Battery Energy Storage Systems
As a critical subsystem in electric vehicles and smart grids, a battery energy storage system plays an essential role in enhancement of reliable operation and system performance. In suchExpand
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Regularized LTI System Identification with Multiple Regularization Matrix
TLDR
In this paper, we propose to use the multiple regularization matrix for the filter-based regularization in quadratic form. Expand
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Accelerated fading recognition for lithium-ion batteries with Nickel-Cobalt-Manganese cathode using quantile regression method
TLDR
This paper extracts key parameters that characterize the aging status of Nickel-Cobalt-Manganese batteries under various operating conditions to facilitate knee point recognition in engineering practice. Expand
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Quantum tomography by regularized linear regressions
TLDR
We show that the empirical data can be utilized for the construction of a weighted least squares estimate for quantum tomography based on regularization techniques. Expand
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