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Identifying Linear Parameter- Varying State Space Models
Identifying Linear Parameter- Varying State Space Models: Estimating System Dynamics and Scheduling Variables From State Sequences and Input-Output Measurements
Predicting the Swap Spread with a Dynamic Nelson-Siegel Model
Predicting the Swap Spread with a Dynamic Nelson-Siegel Model: A Novel Approach to Predict the Spread between Two Correlated Interest Rates
Backward Filtering Forward Guiding for Finite-State Space Models with Expectation Propagation
Backward Filtering Forward Guiding for Finite-State Space Models with Expectation Propagation
Dynamic mathematical models of theory of mind for socially assistive robots
Dynamic mathematical models of theory of mind for socially assistive robots
Networked System Identification
Networked System Identification: theory and applications
Modelling and Control of MPPT Converters for DC Microgrids
Modelling and Control of MPPT Converters for DC Microgrids
Analyzing dynamic functional connectivity using state-space models on mice fUS data
Analyzing dynamic functional connectivity using state-space models on mice fUS data
Estimation of Drift in Localization Microscopy
Estimation of Drift in Localization Microscopy: A State Space Modelling Approach
Design and Development of LVDC Cables
Design and Development of LVDC Cables
Generalized State-Space Realization of Parameter-Dependent Unsteady Aerodynamic Models
Generalized State-Space Realization of Parameter-Dependent Unsteady Aerodynamic Models: Generalized State-Space Realization of Parameter-Dependent Unsteady Aerodynamic Models
Dynamic Expectation Maximization Algorithm for Estimation of Linear Systems with Colored Noise
Dynamic Expectation Maximization Algorithm for Estimation of Linear Systems with Colored Noise
Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks
Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks
AR.Drone 2.0 state estimation using Dynamic Expectation Maximization
AR.Drone 2.0 state estimation using Dynamic Expectation Maximization: Bringing brain perception theory to practice
State-space based network topology identification
State-space based network topology identification
A Decentralized Recovery Method for Air Traffic Conflicts
A Decentralized Recovery Method for Air Traffic Conflicts
Reducing the Measurement Frequency of Chloride and Ammonium Concentrations in Wieringermeer Landfill Leachate via SARIMAX Model
Reducing the Measurement Frequency of Chloride and Ammonium Concentrations in Wieringermeer Landfill Leachate via SARIMAX Model
Prediction of the longitudinal stability and motions of a  hydrofoil ship with a suspension system between the wings and the hull using a state-space model
Prediction of the longitudinal stability and motions of a hydrofoil ship with a suspension system between the wings and the hull using a state-space model
State-Space Network Topology Identification from Partial Observations
State-Space Network Topology Identification from Partial Observations
Identification of affinely parameterized state–space models with unknown inputs
Identification of affinely parameterized state–space models with unknown inputs
The State Space Formulation of Active Inference
The State Space Formulation of Active Inference: Towards Brain-Inspired Robot Control
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