Pages that link to "Item:Q1314746"

The following pages link to 4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems (Q1314746):

Displaying 24 items.

• System identification method inheriting steady-state characteristics of existing model (Q5240721) (← links)
• Hierarchical subspace identification of directed acyclic graphs (Q5265893) (← links)
• Criteria for informative experiments with subspace identification (Q5312773) (← links)
• Generalized sampled‐data hold functions for robust multivariable tracking and disturbance rejection (Q5317804) (← links)
• Control of amplifier flows using subspace identification techniques (Q5417435) (← links)
• Stability analysis of data-driven local model networks (Q5418865) (← links)
• A Note on the Specification and Estimation of ARMAX Systems (Q5467600) (← links)
• Comparing the CCA Subspace Method to Pseudo Maximum Likelihood Methods in the case of No Exogenous Inputs (Q5467621) (← links)
• A new insight to the matrices extraction in a MOESP type subspace identification algorithm (Q5484624) (← links)
• ESTIMATING LINEAR DYNAMICAL SYSTEMS USING SUBSPACE METHODS (Q5697631) (← links)
• Subspace identification for non-linear systems with measured-input non-linearities (Q5704586) (← links)
• Subspace identification – a Markov parameter approach (Q5717598) (← links)
• Least-squares estimation of input/output models for distributed linear systems in the presence of noise (Q5926277) (← links)
• A fast algorithm for subspace state-space system identification via exploitation of the displacement structure (Q5946092) (← links)
• Order estimation for subspace methods (Q5947627) (← links)
• The exact likelihood for a state space model with stochastic inputs (Q5948831) (← links)
• Subspace identification for continuous-time stochastic systems via distribution-based approach (Q5953541) (← links)
• Realization of stable models with subspace methods (Q5961505) (← links)
• Discussion on: ``Subspace-based identification algorithms for Hammerstein and Wiener models'' (Q5971328) (← links)
• Combined invariant subspace \& frequency-domain subspace method for identification of discrete-time MIMO linear systems (Q6069658) (← links)
• Data-driven predictive control in a stochastic setting: a unified framework (Q6160766) (← links)
• Identification of canonical models for vectors of time series: a subspace approach (Q6579386) (← links)
• Meta-state-space learning: an identification approach for stochastic dynamical systems (Q6585435) (← links)
• Dissipative imitation learning for discrete dynamic output feedback control with sparse data sets (Q6591120) (← links)