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Found 9 papers, 0 papers with code
Finite Sample Frequency Domain Identification
The error rate is of the order of $\mathcal{O}((d_{\mathrm{u}}+\sqrt{d_{\mathrm{u}}d_{\mathrm{y}}})\sqrt{M/N_{\mathrm{tot}}})$, where $N_{\mathrm{tot}}$ is the total number of samples, $M$ is the number of desired frequencies, and $d_{\mathrm{u}},\, d_{\mathrm{y}}$ are the dimensions of the input and output signals respectively.
Small Noise Analysis of Non-Parametric Closed-Loop Identification
We revisit the problem of non-parametric closed-loop identification in frequency domain; we give a brief survey of the literature and provide a small noise analysis of the direct, indirect, and joint input-output methods when two independent experiments with identical excitation are used.
Optimal Data-Driven Prediction and Predictive Control using Signal Matrix Models
Data-driven control uses a past signal trajectory to characterise the input-output behaviour of a system.
Online Identification of Stochastic Continuous-Time Wiener Models Using Sampled Data
It is well known that ignoring the presence of stochastic disturbances in the identification of stochastic Wiener models leads to asymptotically biased estimators.
Frequency-Domain Identification of Discrete-Time Systems using Sum-of-Rational Optimization
We propose a computationally tractable method for the identification of stable canonical discrete-time rational transfer function models, using frequency domain data.
Continuous Time-Delay Estimation From Sampled Measurements
An algorithm for continuous time-delay estimation from sampled output data and known input of finite energy is presented.
Privacy and Security in Network Controlled Systems via Dynamic Masking
We consider an adversary which first learns the system dynamics (privacy) using system identification techniques, and then performs a data injection attack (security).
Noise reduction in Laguerre-domain discrete delay estimation
This paper introduces a stochastic framework for a recently proposed discrete-time delay estimation method in Laguerre-domain, i. e. with the delay block input and output signals being represented by the corresponding Laguerre series.
DeepBayes -- an estimator for parameter estimation in stochastic nonlinear dynamical models
Yet, estimating the unknown parameters of stochastic, nonlinear dynamical models remains a challenging problem.
