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Found 7 papers, 0 papers with code
Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-time System Identification
Block coordinate descent is an optimization technique that is used for estimating multi-input single-output (MISO) continuous-time models, as well as single-input single output (SISO) models in additive form.
Consistency analysis of refined instrumental variable methods for continuous-time system identification in closed-loop
In this paper, we address the consistency of the simplified refined instrumental variable method for continuous-time systems (SRIVC) and its closed-loop variant CLSRIVC when they are applied on data that is generated from a feedback loop.
Identification of Additive Continuous-time Systems in Open and Closed-loop
When identifying electrical, mechanical, or biological systems, parametric continuous-time identification methods can lead to interpretable and parsimonious models when the model structure aligns with the physical properties of the system.
On the Relation between Discrete and Continuous-time Refined Instrumental Variable Methods
The Refined Instrumental Variable method for discrete-time systems (RIV) and its variant for continuous-time systems (RIVC) are popular methods for the identification of linear systems in open-loop.
Parsimonious Identification of Continuous-Time Systems: A Block-Coordinate Descent Approach
The identification of electrical, mechanical, and biological systems using data can benefit greatly from prior knowledge extracted from physical modeling.
Consistency Analysis of the Closed-loop SRIVC Estimator
The Consistency of the Closed-Loop Simplified Refined Instrumental Variable method for Continuous-time system (CLSRIVC) is analysed based on sampled data.
Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise
This study presents the results of a series of simulation experiments that evaluate and compare four different manifold alignment methods under the influence of noise.
