Pages that link to "Item:Q985267"
From MaRDI portal
The following pages link to A new kernel-based approach for linear system identification (Q985267):
Displaying 48 items.
- A Bayesian approach to sparse dynamic network identification (Q2391442) (← links)
- Leading impulse response identification via the elastic net criterion (Q2407167) (← links)
- A flexible state-space model for learning nonlinear dynamical systems (Q2407186) (← links)
- Regularized nonparametric Volterra kernel estimation (Q2409165) (← links)
- Maximum entropy vector kernels for MIMO system identification (Q2409365) (← links)
- Consistent identification of Wiener systems: a machine learning viewpoint (Q2628481) (← links)
- Control-oriented regularization for linear system identification (Q2664260) (← links)
- Learning linear modules in a dynamic network using regularized kernel-based methods (Q2665089) (← links)
- Online Bayesian inference and learning of Gaussian-process state-space models (Q2665113) (← links)
- Kernel-based methods for Volterra series identification (Q2665176) (← links)
- On semiseparable kernels and efficient implementation for regularized system identification and function estimation (Q2665635) (← links)
- Deterministic error bounds for kernel-based learning techniques under bounded noise (Q2665700) (← links)
- The existence and uniqueness of solutions for kernel-based system identification (Q2682286) (← links)
- Reconstruction of linear and non-linear continuous-time system models from input/output data using the kernel invariance algorithm (Q2881992) (← links)
- Kernel Absolute Summability Is Sufficient but Not Necessary for RKHS Stability (Q3300839) (← links)
- Kernels for Linear Time Invariant System Identification (Q3451766) (← links)
- Generalized System Identification with Stable Spline Kernels (Q4553782) (← links)
- Identification of Time-Varying Systems in Reproducing Kernel Hilbert Spaces (Q4974361) (← links)
- Smoothing Splines and Rank Structured Matrices: Revisiting the Spline Kernel (Q5112235) (← links)
- A shift in paradigm for system identification (Q5216416) (← links)
- A Scaled Gradient Projection Method for Bayesian Learning in Dynamical Systems (Q5254793) (← links)
- Non-Linear Interactions and Exchange Rate Prediction: Empirical Evidence Using Support Vector Regression (Q5378531) (← links)
- Kernel-based identification of asymptotically stable continuous-time linear dynamical systems (Q5863750) (← links)
- Kernel-Based Models for System Analysis (Q6047030) (← links)
- A regularised fast recursive algorithm for fraction model identification of nonlinear dynamic systems (Q6109495) (← links)
- On the regularization and optimization in quantum detector tomography (Q6110007) (← links)
- Stable spline identification of linear systems under missing data (Q6119719) (← links)
- When cannot regularization improve the least squares estimate in the kernel-based regularized system identification (Q6152563) (← links)
- Kernel-based identification with frequency domain side-information (Q6157806) (← links)
- Nonparametric identification based on Gaussian process regression for distributed parameter systems (Q6164448) (← links)
- Data‐driven mixed‐sensitivity control with automated weighting functions selection (Q6190368) (← links)
- Kernel‐based regularization least squares algorithm for nonlinear time‐delayed systems using self‐organizing maps (Q6190424) (← links)
- Bayesian nonparametric identification of Wiener systems (Q6200689) (← links)
- Data-driven ensemble optimal compensation control for partially known delayed and persistently disturbed nonlinear systems (Q6495040) (← links)
- Sequential stabilizing spline algorithm for linear systems: eigenvalue approximation and polishing (Q6537274) (← links)
- On kernel design for regularized non-causal system identification (Q6537288) (← links)
- Kernel-based linear system identification: when does the representer theorem hold? (Q6537302) (← links)
- A refinement of the stability test for reproducing kernel Hilbert spaces (Q6546871) (← links)
- Kernel-based identification using Lebesgue-sampled data (Q6550245) (← links)
- Dealing with collinearity in large-scale linear system identification using Gaussian regression (Q6574449) (← links)
- Mercer kernel absolute integrability is only sufficient for RKHS stability (Q6590441) (← links)
- Bayesian inference and optimisation of stochastic dynamical networks (Q6601014) (← links)
- On convergence of covariance matrix of empirical Bayes hyper-parameter estimator (Q6631012) (← links)
- Joint input-output identification of unstable systems with kernel regularization (Q6631016) (← links)
- Oxygen uptake response to switching stairs exercise by non-parametric modeling (Q6631033) (← links)
- Rational kernel-based interpolation for complex-valued frequency response functions (Q6649892) (← links)
- Deep networks for system identification: a survey (Q6659190) (← links)
- Regularized identification with internal positivity side-information (Q6663097) (← links)
