Pages that link to "Item:Q2982945"
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The following pages link to System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques (Q2982945):
Displaying 40 items.
- Maximum entropy properties of discrete-time first-order stable spline kernel (Q254525) (← links)
- Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint (Q286265) (← links)
- Kernel methods in system identification, machine learning and function estimation: a survey (Q462325) (← links)
- On the stability of reproducing kernel Hilbert spaces of discrete-time impulse responses (Q1626948) (← links)
- Identification of structured state-space models (Q1640712) (← links)
- On kernel design for regularized LTI system identification (Q1640721) (← links)
- On input design for regularized LTI system identification: power-constrained input (Q1716546) (← links)
- The harmonic analysis of kernel functions (Q1797097) (← links)
- On asymptotic properties of hyperparameter estimators for kernel-based regularization methods (Q1797138) (← links)
- Regularized LTI system identification in the presence of outliers: a variational EM approach (Q2003792) (← links)
- Sparse system identification for stochastic systems with general observation sequences (Q2003800) (← links)
- FRF estimation using multiple kernel-based regularisation (Q2063826) (← links)
- Nonparametric identification of Kronecker networks (Q2081800) (← links)
- Sparse estimation in linear dynamic networks using the stable spline horseshoe prior (Q2097847) (← links)
- Adaptive regularised kernel-based identification method for large-scale systems with unknown order (Q2158994) (← links)
- Sparse Bayesian deep learning for dynamic system identification (Q2165994) (← links)
- High precision variational Bayesian inference of sparse linear networks (Q2188259) (← links)
- Introducing system identification strategy into model predictive control (Q2220417) (← links)
- On convexification of system identification criteria (Q2289048) (← links)
- Global convergence of the EM algorithm for ARX models with uncertain communication channels (Q2303963) (← links)
- Maximum entropy vector kernels for MIMO system identification (Q2409365) (← links)
- On semiseparable kernels and efficient implementation for regularized system identification and function estimation (Q2665635) (← links)
- The existence and uniqueness of solutions for kernel-based system identification (Q2682286) (← links)
- Convex aggregative modelling of infinite memory nonlinear systems (Q2954063) (← links)
- Kernels for Linear Time Invariant System Identification (Q3451766) (← links)
- Model selection for dynamical systems via sparse regression and information criteria (Q4644829) (← links)
- A shift in paradigm for system identification (Q5216416) (← links)
- Sparse identification of nonlinear dynamics for model predictive control in the low-data limit (Q5243602) (← links)
- A Scaled Gradient Projection Method for Bayesian Learning in Dynamical Systems (Q5254793) (← links)
- Parameter identification of a nonlinear radial basis function‐based state‐dependent autoregressive network with autoregressive noise via the filtering technique and the multiinnovation theory (Q6082923) (← 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)
- When cannot regularization improve the least squares estimate in the kernel-based regularized system identification (Q6152563) (← links)
- Kernel‐based regularization least squares algorithm for nonlinear time‐delayed systems using self‐organizing maps (Q6190424) (← 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)
- Oxygen uptake response to switching stairs exercise by non-parametric modeling (Q6631033) (← links)
- Deep networks for system identification: a survey (Q6659190) (← links)
- Reduced-order identification methods: hierarchical algorithm or variable elimination algorithm (Q6664808) (← links)
