Pages that link to "Item:Q2280925"

The following pages link to Subspace identification of individual systems in a large-scale heterogeneous network (Q2280925):

Displaying 30 items.

• The filtering based auxiliary model generalized extended stochastic gradient identification for a multivariate output-error system with autoregressive moving average noise using the multi-innovation theory (Q776143) (← links)
• Robust efficient cruise control for heavy haul train via the state-dependent intermittent control (Q2061179) (← links)
• A combined invariant-subspace and subspace identification method for continuous-time state-space models using slowly sampled multi-sine-wave data (Q2125553) (← links)
• Data-driven fault detection for large-scale network systems: a mixed optimization approach (Q2141196) (← links)
• A recursive parameter estimation algorithm for modeling signals with multi-frequencies (Q2193644) (← links)
• Two-stage gradient-based iterative algorithm for bilinear stochastic systems over the moving data window (Q2205494) (← links)
• Hierarchical extended least squares estimation approaches for a multi-input multi-output stochastic system with colored noise from observation data (Q2205498) (← links)
• Identification of affinely parameterized state-space models with unknown inputs (Q2208595) (← links)
• Output feedback control for nonlinear systems with uncertainties on output functions and growth rates (Q2220020) (← links)
• A generalized minimal residual based iterative back propagation algorithm for polynomial nonlinear models (Q2242903) (← links)
• Recursive identification of bilinear time-delay systems through the redundant rule (Q2291091) (← links)
• Global convergence of the EM algorithm for ARX models with uncertain communication channels (Q2303963) (← links)
• System identification approach for inverse optimal control of finite-horizon linear quadratic regulators (Q2665139) (← links)
• Controller design for stabilizing bilinear systems with state-based switching (Q2665288) (← links)
• Subspace Identification of Large-Scale Interconnected Systems (Q2982990) (← links)
• Subspace Identification of Local Systems in One-Dimensional Homogeneous Networks (Q4567172) (← links)
• Two-stage multi-innovation stochastic gradient algorithm for multivariate output-error ARMA systems based on the auxiliary model (Q5025871) (← links)
• Decentralised event-triggered control for uncertain switched T–S fuzzy systems with asynchronous adaptive sampling communication (Q5026579) (← links)
• Parameter estimation for an exponential autoregressive time series model by the Newton search and multi-innovation theory (Q5028671) (← links)
• Three‐stage least squares‐based iterative estimation algorithms for bilinear state‐space systems based on the bilinear state estimator (Q6049911) (← links)
• Decentralized adaptive tracking control for nonlinear large‐scale systems with unknown control directions (Q6082720) (← 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 multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems (Q6083767) (← links)
• Three‐stage multi‐innovation parameter estimation for an exponential autoregressive time‐series model with moving average noise by using the data filtering technique (Q6083768) (← links)
• Auxiliary model‐based iterative parameter estimation for a nonlinear output‐error system with saturation and dead‐zone nonlinearity (Q6089760) (← links)
• A data-driven fault detection approach for unknown large-scale systems based on GA-SVM (Q6153222) (← links)
• Multi-point suspension design and stability analysis of a scaled hoop truss antenna structure (Q6491407) (← links)
• Decomposition and composition modeling algorithms for control systems with colored noises (Q6498049) (← links)
• Improved least-squares identification for multiple-output non-linear stochastic systems (Q6598862) (← links)
• Data filtering-based recursive identification for an exponential autoregressive moving average model by using the multi-innovation theory (Q6609011) (← links)