State-Space Modeling Techniques of Emerging Grid-Connected Converters
Energies, 2020 In modern power electronics-based power systems, accurate modeling is necessary in order to analyze stability and the interaction between the different elements, which are connected to it. State space modeling seems a valid approach to study the modes of
Fabio Mandrile +5 more
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Fast robust methods for singular state-space models [PDF]
Automatica, 2019 11 pages, 4 ...
Jonker J. +4 more
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Research on signals extrapolation in the time domain based on wavelet analysis
The Journal of Engineering, 2019 Characteristic of modulation spectrum is important for radar targets classification and recognition, while signals with high occupation ratio cause low spectral resolution.
Huan Liu +3 more
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State Space Model Predictive Control of a Multi Stage Electro-metallurgical Process [PDF]
Modeling, 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
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On the Efficacy of State Space Reconstruction Methods in Determining Causality [PDF]
SIAM 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
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Assessing performance of Bayesian state-space models fit to Argos Satellite telemetry locations processed with Kalman Filtering [PDF]
, 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
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The Journal of Engineering, 2017 In this study, the authors propose a state space modelling approach for trust evaluation in wireless sensor networks. In their state space trust model (SSTM), each sensor node is associated with a trust metric, which measures to what extent the data ...
Bin Liu, Shi Cheng
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Combined Deterministic and Stochastic System Identification and Realization: DSR - A Subspace Approach Based on Observations [PDF]
Modeling, Identification and Control, 1996 A numerically stable and general algorithm for identification and realization of a complete dynamic linear state space model, including the system order, for combined deterministic and stochastic systems from time series is presented.
David Di Ruscio
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Stochastic Claims Reserving Methods with State Space Representations: A Review
Risks, 2021 Often, the claims reserves exceed the available equity of non-life insurance companies and a change in the claims reserves by a small percentage has a large impact on the annual accounts.
Nataliya Chukhrova, Arne Johannssen
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A Marked Point Process Filtering Approach for Tracking Sympathetic Arousal From Skin Conductance
IEEE Access, 2020 Human emotion represents a complex neural process within the brain. The ability to automatically recognize emotions from physiological signals has the potential to impact humanity in multiple ways through applications in human-machine interaction, remote
Dilranjan S. Wickramasuriya +1 more
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