Kernel-based identification with frequency domain side-information
From MaRDI portal
Publication:6157806
DOI10.1016/j.automatica.2022.110813zbMath1528.93030arXiv2111.00410OpenAlexW3208543233MaRDI QIDQ6157806
No author found.
Publication date: 22 June 2023
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2111.00410
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint
- Kernel methods in system identification, machine learning and function estimation: a survey
- A new kernel-based approach for linear system identification
- Identification of positive linear systems with Poisson output transformation
- On the stability of reproducing kernel Hilbert spaces of discrete-time impulse responses
- On kernel design for regularized LTI system identification
- Subspace identification with moment matching
- On model consistency in compartmental systems identification
- Bayesian positive system identification: truncated Gaussian prior and hyperparameter estimation
- Dissipative dynamical systems. I: General theory
- Subspace identification with eigenvalue constraints
- The existence and uniqueness of solutions for kernel-based system identification
- Hankel Matrix Rank Minimization with Applications to System Identification and Realization
- Convex Optimization in Normed Spaces
- Frequency Domain Subspace Identification Using Nuclear Norm Minimization and Hankel Matrix Realizations
- VECTOR VALUED REPRODUCING KERNEL HILBERT SPACES OF INTEGRABLE FUNCTIONS AND MERCER THEOREM
- Nonlinear System Identification: A User-Oriented Road Map
- A shift in paradigm for system identification
- Specialized Interior-Point Algorithm for Stable Nonlinear System Identification
- System identification method inheriting steady-state characteristics of existing model
- Identification of positive real models in subspace identification by using regularization
- Subspace identification with guaranteed stability using constrained optimization
- Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting
- Approximation of Large-Scale Dynamical Systems
- Theory of Reproducing Kernels
- Dissipative systems analysis and control. Theory and applications
This page was built for publication: Kernel-based identification with frequency domain side-information