Results 21 to 30 of about 1,023,856 (306)

Steady-State Analysis and Design Methodology for Class-E2 Resonant DC/DC Converters Based on a Normalized State-Space Model

open access: yesEletrônica de Potência, 2020
This paper presents a steady-state analysis and design methodology for the Class-E² resonant DC/DC converter. The converter is represented in a normalized state-space model that is independent of specifications and real system components, like as ...
Lucas S. Mendonça   +3 more
doaj   +1 more source

Optimal Hardware and Control Co-Design Applied to an Active Car Suspension Setup

open access: yesMachines, 2021
For complex systems, it is not easy to obtain optimal designs for the hardware architecture and control configurations. Every design aspect influences the final performance, and often the interactions of the different components cannot be clearly ...
Michiel Haemers   +3 more
doaj   +1 more source

State Space Model Predictive Control of a Multi Stage Electro-metallurgical Process [PDF]

open access: yesModeling, Identification and Control, 1989
The paper deals with the proposed application of a novel technique for Model Predictive Control to a multistage electrometallurgical process. The novel control technique is based upon high speed repetitive simulation of a non-linear state space model of ...
Jens G. Balchen   +2 more
doaj   +1 more source

Assessing performance of Bayesian state-space models fit to Argos Satellite telemetry locations processed with Kalman Filtering [PDF]

open access: yes, 2014
Argos recently implemented a new algorithm to calculate locations of satellite-tracked animals that uses a Kalman filter (KF). The KF algorithm is reported to increase the number and accuracy of estimated positions over the traditional Least Squares (LS)
Silva, Monica A.   +25 more
core   +1 more source

Spike-based reinforcement learning in continuous state and action space: when policy gradient methods fail. [PDF]

open access: yesPLoS Computational Biology, 2009
Changes of synaptic connections between neurons are thought to be the physiological basis of learning. These changes can be gated by neuromodulators that encode the presence of reward.
Eleni Vasilaki   +4 more
doaj   +1 more source

Fast robust methods for singular state-space models [PDF]

open access: yesAutomatica, 2019
11 pages, 4 ...
Jonker J.   +4 more
openaire   +3 more sources

Federal minimum wage hikes do reduce teenage employment. A replication study of Bazen & Marimoutou (Oxford Bulletin of Economics and Statistics, 2002)

open access: yesInternational Journal for Re-Views in Empirical Economics, 2018
In 2002 we published a paper in which we used state space time series methods to analyse the teenage employment-federal minimum wage relationship in the US (Bazen and Marimoutou, 2002).The study used quarterly data for the 46 year period running from ...
Velayoudom Marimoutou, Stephen Bazen
doaj   +1 more source

Unified AC/DC hybrid admittance modelling and oscillation stability analysis for interlinking voltage source converter system

open access: yesIET Renewable Power Generation, 2023
The voltage source converter (VSC) interlinking AC and DC power networks is a core equipment in AC/DC hybrid power systems. To analyze the stability of this system based on the impedance method, it is necessary to establish the hybrid AC/DC admittance ...
Hua Xie   +5 more
doaj   +1 more source

A Bayesian Filtering Approach for Tracking Sympathetic Arousal and Cortisol-Related Energy From Marked Point Process and Continuous-Valued Observations

open access: yesIEEE Access, 2023
Multiple state variables governed by internal processes within the human body remain unobserved. On a number of occasions, these states are linked to point process bioelectric and biochemical observations coupled together with continuous-valued variables.
Dilranjan S. Wickramasuriya   +3 more
doaj   +1 more source

On the Efficacy of State Space Reconstruction Methods in Determining Causality [PDF]

open access: yesSIAM Journal on Applied Dynamical Systems, 2015
Summary: We present a theoretical framework for inferring dynamical interactions between weakly or moderately coupled variables in systems where deterministic dynamics plays a dominating role. The variables in such a system can be arranged into an interaction graph, which is a set of nodes connected by directed edges wherever one variable directly ...
Bree Cummins   +2 more
openaire   +1 more source

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