Pages that link to "Item:Q1640712"

The following pages link to Identification of structured state-space models (Q1640712):

Displaying 19 items.

• Revised convexity, normality and stability properties of the dynamical feedback fuzzy state space model (FFSSM) of insulin-glucose regulatory system in humans (Q780116) (← links)
• Structured identification for network reconstruction of RC-models (Q826856) (← links)
• Fast recursive identification of state space models via exploitation of displacement structure (Q1314744) (← links)
• The bias compensation based parameter and state estimation for observability canonical state-space models with colored noise (Q1712021) (← links)
• Robust hierarchical identification of Wiener systems in the presence of dynamic disturbances (Q2181451) (← links)
• Two-stage gradient-based iterative algorithm for bilinear stochastic systems over the moving data window (Q2205494) (← links)
• Identification of affinely parameterized state-space models with unknown inputs (Q2208595) (← links)
• On convexification of system identification criteria (Q2289048) (← links)
• Kalman filtering based gradient estimation algorithms for observer canonical state-space systems with moving average noises (Q2423917) (← links)
• Residual models and stochastic realization in state-space identification (Q3151426) (← links)
• Identification of state-dependent parameter models with support vector regression (Q3542905) (← links)
• Recursive identification of certain structured time-varying state–space models (Q4367843) (← links)
• Hierarchical identification of lifted state-space models for general dual-rate systems (Q4590455) (← links)
• A method for the identification of state space models from input and output measurements (Q4877451) (← links)
• Maximum likelihood-based recursive least-squares estimation for multivariable systems using the data filtering technique (Q5025908) (← links)
• Maximum likelihood iterative identification approaches for multivariable equation-error moving average systems (Q5026619) (← 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)
• Auxiliary model‐based iterative parameter estimation for a nonlinear output‐error system with saturation and dead‐zone nonlinearity (Q6089760) (← links)
• Parameter estimation for a multi-input multi-output state-space system with unmeasurable states through the data filtering technique (Q6611544) (← links)