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New stability tests for positive descriptor linear systems [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2022 The asymptotic stability of positive descriptor continuous-time and discrete-time linear systems is considered. New sufficient conditions for stability of positive descriptor linear systems are established.
Tadeusz Kaczorek
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Application of the Lagrange-Sylvester formula to computation of the solution to state equations of fractional linear systems [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2021 The Lagrange-Sylvester formula is applied to the computation of the solutions of state equations of fractional continuous-time and discrete-time linear systems.
Tadeusz Kaczorek
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Observers of fractional linear continuous-time systems [PDF]
Archives of Control Sciences, 2022 The concepts of full-order and reduced-order observers are extended to the fractional linear continuous-time systems. Necessary and sufficient conditions for the existence of the observers for fractional linear systems are established.
Tadeusz Kaczorek
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New stability tests for fractional positive descriptor linear systems [PDF]
Archives of Control Sciences, 2023 The asymptotic stability of fractional positive descriptor continuous-time and discretetime linear systems is considered. New sufficient conditions for stability of fractional positive descriptor linear systems are established.
Tadeusz Kaczorek, Andrzej Ruszewski
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A Scalable Discrete-Time Integrated CMOS Readout Array for Nanopore Based DNA Sequencing
IEEE Access, 2021 This paper introduces a high-speed mixed-signal readout array in 130-nm CMOS for the amplification and digitization of picoampere-range signals. Its design is inspired by the needs of emerging DNA sequencing technologies based on biological nanopore ...
Yunus Dawji +3 more
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Ladder-Type
IEEE Access, 2023 A simple yet effective approach to improve the linearity of the transconductor-capacitor ( $G_{m}-C$ ) filters is proposed without any area or power overhead.
Abdol Rasool Ghasemi +2 more
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Gaussian Process Panel Modeling—Machine Learning Inspired Analysis of Longitudinal Panel Data
Frontiers in Psychology, 2020 In this article, we extend the Bayesian nonparametric regression method Gaussian Process Regression to the analysis of longitudinal panel data. We call this new approach Gaussian Process Panel Modeling (GPPM).
Julian D. Karch +4 more
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Sensors, 2020 This paper proposes a compact, high-linearity, and reconfigurable continuous-time filter with a wide frequency-tuning capability for biopotential conditioning. It uses an active filter topology and a new operational-transconductance-amplifier (OTA)-based
Jinyong Zhang +4 more
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Constrained Dynamic Mean-Variance Portfolio Selection in Continuous-Time
Algorithms, 2021 This paper revisits the dynamic MV portfolio selection problem with cone constraints in continuous-time. We first reformulate our constrained MV portfolio selection model into a special constrained LQ optimal control model and develop the optimal ...
Weiping Wu +3 more
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Discrete- vs. Continuous-Time Modeling of Unequally Spaced Experience Sampling Method Data
Frontiers in Psychology, 2017 The Experience Sampling Method is a common approach in psychological research for collecting intensive longitudinal data with high ecological validity. One characteristic of ESM data is that it is often unequally spaced, because the measurement intervals
Silvia de Haan-Rietdijk +5 more
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