Results 1 to 10 of about 850,311 (159)
Semisupervised Deep State-Space Model for Plant Growth Modeling [PDF]
Plant Phenomics, 2020 The optimal control of sugar content and its associated technology is important for producing high-quality crops more stably and efficiently. Model-based reinforcement learning (RL) indicates a desirable action depending on the type of situation based on
S. Shibata, R. Mizuno, H. Mineno
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Automated Seizure Detection Based on State-Space Model Identification [PDF]
SensorsIn this study, we developed a machine learning model for automated seizure detection using system identification techniques on EEG recordings. System identification builds mathematical models from a time series signal and uses a small number of ...
Zhuo Wang +3 more
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Climate-Driven Variation in Yellowfin Tuna Productivity in the Western and Central Pacific Ocean Inferred from a State-Space Model [PDF]
AnimalsUnderstanding temporal variation in population productivity is critical for effective assessment and management of pelagic fish stocks under a changing climate.
Xiaodong Li +4 more
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Parametric Evaluation of Wobble-Yoke Stirling Engine State Space Model [PDF]
E3S Web of Conferences, 2021 A conceptual design of Stirling engine suitable for onboard aircraft application is the motivation behind this study. The aim is to evaluate the suitability of the system to be integrated in aircraft as part of energy contributor by recycling the waste ...
Abdullah Ermira Junita, Lee Rick Kit
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A State Space Model for the Wood Chip Refining Model [PDF]
Modeling, Identification and Control, 1997 A detailed dynamic model of the fibre size distribution between the refiner discs, distributed along the refiner radius, is presented. Both one- and two-dimensional descriptions for the fibre or shive geometry are given.
David Di Ruscio, Jens G. Balchen
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Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6 [PDF]
Geoscientific Model Development, 2020 The Observations for Model Intercomparison Project (Obs4MIPs) was initiated in 2010 to facilitate the use of observations in climate model evaluation and research, with a particular target being the Coupled Model Intercomparison Project (CMIP), a major ...
D. Waliser +22 more
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Wavelets in state space models [PDF]
Applied Stochastic Models in Business and Industry, 2003 AbstractIn this paper, we consider the utilization of wavelets in conjunction with state space models. Specifically, the parameters in the system matrix are expanded in wavelet series and estimated via the Kalman Filter and the EM algorithm. In particular this approach is used for switching models.
Zandonade, Eliana, Morettin, Pedro A.
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Bayesian State Space Models in Macroeconometrics [PDF]
SSRN Electronic Journal, 2020 AbstractState space models play an important role in macroeconometric analysis and the Bayesian approach has been shown to have many advantages. This paper outlines recent developments in state space modelling applied to macroeconomics using Bayesian methods.
Joshua C.C. Chan, Rodney W. Strachan
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CoRR, 2023 This paper studies sequence modeling for prediction tasks with long range dependencies. We propose a new formulation for state space models (SSMs) based on learning linear dynamical systems with the spectral filtering algorithm (Hazan et al. (2017)).
Naman Agarwal +3 more
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Novel Fractional-Order Model Predictive Control: State-Space Approach
IEEE Access, 2021 This paper deals with a novel approach to the fractional-order model predictive control in state space. Except well-known fractional-order models of processes (plants) with arbitrary (real) order of the derivatives in fractional differential equations a ...
Ivo Petras
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