Stochastic Adaptive Linear Quadratic Differential Games
Sign Up to like & getrecommendations! 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
A Fast Droop-Recovery Event-Driven Digital LDO With Adaptive Linear/Binary Two-Step Search for Voltage Regulation in Advanced Memory
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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.
Sign Up to like & getrecommendations! 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