Related references
Note: Only part of the references are listed.Kernel-Based Models for System Analysis
Henk J. van Waarde et al.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2023)
Kernel-based identification of asymptotically stable continuous-time linear dynamical systems
Matteo Scandella et al.
INTERNATIONAL JOURNAL OF CONTROL (2022)
Deterministic error bounds for kernel-based learning techniques under bounded noise
Emilio Tanowe Maddalena et al.
AUTOMATICA (2021)
Learning linear modules in a dynamic network using regularized kernel-based methods
Karthik Raghavan Ramaswamy et al.
AUTOMATICA (2021)
Identification of linear response functions from arbitrary perturbation experiments in the presence of noise - Part 1: Method development and toy model demonstration
Guilherme L. Torres Mendonca et al.
NONLINEAR PROCESSES IN GEOPHYSICS (2021)
A shift in paradigm for system identification
Lennart Ljung et al.
INTERNATIONAL JOURNAL OF CONTROL (2020)
Kernel-based identification of non-causal systems with application to inverse model control
Lennart Blanken et al.
AUTOMATICA (2020)
On the mathematical foundations of stable RKHSs
Mauro Bisiacco et al.
AUTOMATICA (2020)
Recursive estimation for sparse Gaussian process regression
Manuel Schuerch et al.
AUTOMATICA (2020)
Regularized LTI system identification in the presence of outliers: A variational EM approach
Martin Lindfors et al.
AUTOMATICA (2020)
Continuous-Time DC Kernel-A Stable Generalized First-Order Spline Kernel
Tianshi Chen
IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2018)
Maximum Entropy Kernels for System Identification
Francesca Paola Carli et al.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2017)
Regularized nonparametric Volterra kernel estimation
Georgios Birpoutsoukis et al.
AUTOMATICA (2017)
KERNELS FOR LINEAR TIME INVARIANT SYSTEM IDENTIFICATION
Francesco Dinuzzo
SIAM JOURNAL ON CONTROL AND OPTIMIZATION (2015)
Kernel methods in system identification, machine learning and function estimation: A survey
Gianluigi Pillonetto et al.
AUTOMATICA (2014)
Implementation of algorithms for tuning parameters in regularized least squares problems in system identification
Tianshi Chen et al.
AUTOMATICA (2013)
On the estimation of transfer functions, regularizations and Gaussian processes-Revisited
Tianshi Chen et al.
AUTOMATICA (2012)
Optimal learning rates for least squares regularized regression with unbounded sampling
Cheng Wang et al.
JOURNAL OF COMPLEXITY (2011)
VECTOR VALUED REPRODUCING KERNEL HILBERT SPACES AND UNIVERSALITY
C. Carmeli et al.
ANALYSIS AND APPLICATIONS (2010)
A REPRODUCING KERNEL HILBERT SPACE APPROACH TO FUNCTIONAL LINEAR REGRESSION
Ming Yuan et al.
ANNALS OF STATISTICS (2010)
A new kernel-based approach for linear system identification
Gianluigi Pillonetto et al.
AUTOMATICA (2010)
Kernel methods in machine learning
Thomas Hofmann et al.
ANNALS OF STATISTICS (2008)
A unifying view of Wiener and Volterra theory and polynomial kernel regression
Matthias O. Franz et al.
NEURAL COMPUTATION (2006)
VECTOR VALUED REPRODUCING KERNEL HILBERT SPACES OF INTEGRABLE FUNCTIONS AND MERCER THEOREM
Claudio Carmeli et al.
ANALYSIS AND APPLICATIONS (2006)
Regularization networks and support vector machines
T Evgeniou et al.
ADVANCES IN COMPUTATIONAL MATHEMATICS (2000)