Pages that link to "Item:Q976288"
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The following pages link to Segmentation of ARX-models using sum-of-norms regularization (Q976288):
Displaying 18 items.
- Analysis of a nonsmooth optimization approach to robust estimation (Q254560) (← links)
- Smoothed state estimates under abrupt changes using sum-of-norms regularization (Q417799) (← links)
- Four encounters with system identification (Q693680) (← links)
- Block splitting for distributed optimization (Q744220) (← links)
- On the complexity of piecewise affine system identification (Q901110) (← links)
- Moving horizon estimation for ARMAX processes with additive output noise (Q1730071) (← links)
- Inferring switched nonlinear dynamical systems (Q2050095) (← links)
- Sparse group fused Lasso for model segmentation: a hybrid approach (Q2051576) (← links)
- New procedure for change detection operating on Rényi entropy with application in seismic signals processing (Q2405850) (← links)
- Forward and backward least angle regression for nonlinear system identification (Q2409414) (← links)
- Realization of multi-input/multi-output switched linear systems from Markov parameters (Q2695928) (← links)
- SHRINKAGE ESTIMATION OF REGRESSION MODELS WITH MULTIPLE STRUCTURAL CHANGES (Q2981821) (← links)
- An EM-based identification algorithm for a class of hybrid systems with application to power electronics (Q5499747) (← links)
- A regularised fast recursive algorithm for fraction model identification of nonlinear dynamic systems (Q6109495) (← links)
- Kernel-based regularized iterative learning control of repetitive linear time-varying systems (Q6175582) (← links)
- On sparsity‐inducing methods in system identification and state estimation (Q6177342) (← links)
- Estimation of ARMAX processes with noise corrupted output signal observations (Q6177545) (← links)
- Deep networks for system identification: a survey (Q6659190) (← links)
