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: A Novel Approach to Predict the Spread between Two Correlated Interest Rates

Backward Filtering Forward Guiding for Finite-State Space Models with Expectation Propagation

Networked System Identification: theory and applications

Modelling and Control of MPPT Converters for DC Microgrids

Analyzing dynamic functional connectivity using state-space models on mice fUS data

Estimation of Drift in Localization Microscopy: A State Space Modelling Approach

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

Dynamic Expectation Maximization Algorithm for Estimation of Linear Systems with Colored Noise

Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks

AR.Drone 2.0 state estimation using Dynamic Expectation Maximization: Bringing brain perception theory to practice

State-space based network topology identification

A Decentralized Recovery Method for Air Traffic Conflicts

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

Identification of affinely parameterized state–space models with unknown inputs

State-Space Network Topology Identification from Partial Observations

The State Space Formulation of Active Inference: Towards Brain-Inspired Robot Control

Continuous-time System Identification: A Bilinear Optimization Approach