Pages that link to "Item:Q981050"

The following pages link to Modeling and identification of linear parameter-varying systems (Q981050):

Displaying 50 items.

• Continuous-time identification of periodically parameter-varying state space models (Q313229) (← links)
• A novel robust control scheme for LTV systems using output integral discrete-time synergetic control theory (Q518906) (← links)
• Set-membership LPV model identification of vehicle lateral dynamics (Q642943) (← links)
• A bias-correction method for closed-loop identification of linear parameter-varying systems (Q680507) (← links)
• Optimal identification experiment design for LPV systems using the local approach (Q680530) (← links)
• The quest for the right kernel in Bayesian impulse response identification: the use of OBFs (Q680545) (← links)
• Identification of LPV system using locally weighted technique (Q716530) (← links)
• Automated generation and comparison of Takagi-Sugeno and polytopic quasi-LPV models (Q723202) (← links)
• Dwell-time based stability analysis and \(\mathcal{L}_2\) control of LPV systems with piecewise constant parameters and delay (Q826797) (← links)
• Direct learning of LPV controllers from data (Q905785) (← links)
• Refined instrumental variable methods for identification of LPV Box-Jenkins models (Q976259) (← links)
• Co-design of event-triggered \(H_\infty\) control for discrete-time linear parameter-varying systems with network-induced delays (Q1660436) (← links)
• Fixed-structure LPV-IO controllers: an implicit representation based approach (Q1679117) (← links)
• From structurally independent local LTI models to LPV model (Q1680926) (← links)
• State-space LPV model identification using kernelized machine learning (Q1693709) (← links)
• Prediction-error identification of LPV systems: a nonparametric Gaussian regression approach (Q1716507) (← links)
• Towards efficient maximum likelihood estimation of LPV-SS models (Q1716556) (← links)
• Blind identification of fully observed linear time-varying systems via sparse recovery (Q1737658) (← links)
• A LPV modeling of turbocharged spark-ignition automotive engine oriented to fault detection and isolation purposes (Q1796690) (← links)
• Modelling of uncertain systems via linear programming (Q1914995) (← links)
• Instrumental variable scheme for closed-loop LPV model identification (Q1937526) (← links)
• Identification of multiple-mode linear models based on particle swarm optimizer with cyclic network mechanism (Q1992739) (← links)
• A method for reducing implementation complexity in linear parameter-varying controllers (Q2097743) (← links)
• Parameter identifiability for nonlinear LPV models (Q2162139) (← links)
• A convex optimization framework for the identification of homogeneous reaction systems (Q2174011) (← links)
• Control design with guaranteed transient performance: an approach with polyhedral target tubes (Q2207233) (← links)
• A machine-learning approach to synthesize virtual sensors for parameter-varying systems (Q2235477) (← links)
• Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification (Q2307599) (← links)
• Frequency domain weighted nonlinear least squares estimation of parameter-varying differential equations (Q2374486) (← links)
• Asymptotically optimal orthonormal basis functions for LPV system identification (Q2391319) (← links)
• Identifiability of affine linear parameter-varying models (Q2407166) (← links)
• State estimation of linear systems in the presence of sporadic measurements (Q2409287) (← links)
• Data-driven model reduction by moment matching for linear and nonlinear systems (Q2409366) (← links)
• LPV system identification under noise corrupted scheduling and output signal observations (Q2409451) (← links)
• Comparison of LPV and nonlinear system theory: a realization problem (Q2440036) (← links)
• A convex relaxation approach to set-membership identification of LPV systems (Q2628501) (← links)
• Closed-loop output error identification algorithms with predictors based on generalized orthonormal transfer functions: convergence conditions and bias distribution (Q2663871) (← links)
• State observer with round-robin aperiodic sampled measurements with jitter (Q2665080) (← links)
• Realization of multi-input/multi-output switched linear systems from Markov parameters (Q2695928) (← links)
• An LMI approach to the identification and (in) validation of LPV systems (Q2758365) (← links)
• Fixed-structure LPV discrete-time controller design with induced<i>l</i>₂-norm and<b>H2</b>performance (Q2792738) (← links)
• Actuator fault estimation observer design for discrete-time linear parameter-varying descriptor systems (Q2802065) (← links)
• Minimal state space realisation of continuous-time linear time-variant input–output models (Q2807888) (← links)
• Tensor product model transformation in polytopic model-based control (Q2865201) (← links)
• (Q2994131) (← links)
• Identification of linear parameter varying models (Q3150153) (← links)
• Data-driven tuning of linear parameter-varying precompensators (Q3162952) (← links)
• Identification of input-output LPV models (Q3190682) (← links)
• Advances in modeling and control of linear parameter varying systems (Q3380592) (← links)
• Modeling of parameter variations and asymptotic LQG synthesis (Q3765636) (← links)