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   Articles with "adaptive linear" as a keyword



Dead‐time compensation for PMSM with phase shift of impedance considered based on adaptive linear neuron method

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recommendations! Published in 2024 at "IET Electric Power Applications"

DOI: 10.1049/elp2.12463

Abstract: A new adaptive‐linear‐neuron‐ (ADALINE‐) based dead‐time compensation method is presented for permanent magnet synchronous motor (PMSM) drives. It is proposed to suppress the sixth current harmonics adaptively in the synchronous reference frame due to dead‐time… read more here.

Keywords: method; dead time; adaptive linear; compensation ... See more keywords

Adaptive Linear Neuron-Augmented ADRC for Harmonic Current Suppression in Dual Three-Phase PMSMs: An Optimization Strategy

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recommendations! Published in 2025 at "IEEE Journal of Emerging and Selected Topics in Power Electronics"

DOI: 10.1109/jestpe.2025.3594573

Abstract: Dual three-phase permanent magnet synchronous motors (DTP-PMSMs) are susceptible to both nonperiodic and periodic harmonic disturbances due to factors such as nonsinusoidal back electromotive force (EMF), inverter nonlinearity, and winding asymmetry, which degrade system performance.… read more here.

Keywords: dual three; adaptive linear; harmonics; suppression ... See more keywords

Stochastic Adaptive Linear Quadratic Differential Games

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recommendations! Published in 2022 at "IEEE Transactions on Automatic Control"

DOI: 10.1109/tac.2023.3274863

Abstract: Game theory is playing more and more important roles in understanding complex systems and in investigating intelligent machines with various uncertainties. As a starting point, we consider the classical two-player zero-sum linear-quadratic stochastic differential games,… read more here.

Keywords: quadratic differential; adaptive linear; differential games; stochastic adaptive ... See more keywords

Adaptive Linear Quadratic Control for Stochastic Discrete-Time Linear Systems With Unmeasurable Multiplicative and Additive Noises

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recommendations! Published in 2024 at "IEEE Transactions on Automatic Control"

DOI: 10.1109/tac.2024.3399630

Abstract: This note investigates the adaptive linear quadratic control problem (ALQCP) for stochastic discrete-time (DT) linear systems with unmeasurable multiplicative and additive noises. A data-driven value iteration algorithm is developed to solve the stochastic algebraic Riccati… read more here.

Keywords: unmeasurable multiplicative; additive noises; linear quadratic; control ... See more keywords
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A Fast Droop-Recovery Event-Driven Digital LDO With Adaptive Linear/Binary Two-Step Search for Voltage Regulation in Advanced Memory

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recommendations! Published in 2022 at "IEEE Transactions on Power Electronics"

DOI: 10.1109/tpel.2021.3103611

Abstract: This letter presents an event-driven digital low-dropout regulator (DLDO) with an adaptive linear/binary two-step search achieving a fast transient response. A two-dimensional (2-D) circular shifting register (CSR) offers an adaptive linear-search regulation. When a large… read more here.

Keywords: search; event driven; adaptive linear; step ... See more keywords

Adaptive linear reconstruction with regularizer for channeled spectropolarimeter

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recommendations! Published in 2021 at "Optical Engineering"

DOI: 10.1117/1.oe.60.6.064111

Abstract: Abstract. A channeled spectropolarimeter (CSP) measures spectrally resolved Stokes parameters from a snapshot. However, the reconstruction of Stokes parameters may suffer from noise and systemic errors, lowering the measurement accuracy. To accurately reconstruct Stokes parameters… read more here.

Keywords: reconstruction; regularizer; linear reconstruction; adaptive linear ... See more keywords

An adaptive linear neural network with least mean M-estimate weight updating rule employed for harmonics identification and power quality monitoring

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recommendations! Published in 2018 at "Transactions of the Institute of Measurement and Control"

DOI: 10.1177/0142331217695402

Abstract: This paper describes a combined adaptive linear neural network and least mean M-estimate (ADALINE-LMM) algorithm for estimating the amplitude and phase of the individual harmonic contained in a distorted power system current signal. The weight… read more here.

Keywords: neural network; adaptive linear; power; harmonics ... See more keywords

Predicting COVID-19 cases in various scenarios using RNN-LSTM models aided by adaptive linear regression to identify data anomalies.

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recommendations! Published in 2022 at "Anais da Academia Brasileira de Ciencias"

DOI: 10.1590/0001-3765202220210921

Abstract: The evolution of the Sars-CoV-2 (COVID-19) virus pandemic has revealed that the problems of social inequality, poverty, public and private health systems guided by controversial public policies are much more complex than was conceived before… read more here.

Keywords: linear regression; adaptive linear; rnn lstm; predicting covid ... See more keywords