Pages that link to "Item:Q4655663"
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The following pages link to NONLINEAR DYNAMICAL SYSTEM IDENTIFICATION FROM UNCERTAIN AND INDIRECT MEASUREMENTS (Q4655663):
Displaying 50 items.
- Inverse problem studies of biochemical systems with structure identification of S-systems by embedding training functions in a genetic algorithm (Q274207) (← links)
- Degradation-based maintenance decision using stochastic filtering for systems under imperfect maintenance (Q319625) (← links)
- Accurate state and parameter estimation in nonlinear systems with sparse observations (Q398077) (← links)
- Exploiting dynamical coherence: a geometric approach to parameter estimation in nonlinear models (Q415111) (← links)
- Chaotic dynamics reconstruction from noisy data: phenomenon of predictability worsening for incomplete set of observables (Q602469) (← links)
- State and parameter estimation in nonlinear systems as an optimal tracking problem (Q637404) (← links)
- A mathematical model for breath gas analysis of volatile organic compounds with special emphasis on acetone (Q662571) (← links)
- Controlling based method for modelling chaotic dynamical systems from time series (Q711929) (← links)
- Nonlinear dynamical system identification with dynamic noise and observational noise (Q857171) (← links)
- Statistical inference for dynamical systems: a review (Q895009) (← links)
- Modeling nonlinear dynamics and chaos: a review (Q1036298) (← links)
- Forecasting and uncertainty quantification using a hybrid of mechanistic and non-mechanistic models for an age-structured population model (Q1670479) (← links)
- Robust stabilization control of bifurcations in Hodgkin-Huxley model with aid of unscented Kalman filter (Q1676822) (← links)
- Data assimilation methods for neuronal state and parameter estimation (Q1710228) (← links)
- Nonlinear Kalman filtering for censored observations (Q1740241) (← links)
- Tracing initial conditions, historical evolutionary path and parameters of chaotic processes from a short segment of scalar time series (Q1775710) (← links)
- Augmented sparse reconstruction of protein signaling networks (Q1798095) (← links)
- Image inversion and uncertainty quantification for constitutive laws of pattern formation (Q2131064) (← links)
- Modelling spatiotemporal dynamics from Earth observation data with neural differential equations (Q2163266) (← links)
- Multiple shooting-local linearization method for the identification of dynamical systems (Q2198902) (← links)
- Analyzing the effects of observation function selection in ensemble Kalman filtering for epidemic models (Q2241991) (← links)
- Nonlinear system identification employing automatic differentiation (Q2257423) (← links)
- Changes in population dynamics regimes as a result of both multistability and climatic fluctuation (Q2296944) (← links)
- Estimation of biophysical parameters in a neuron model under random fluctuations (Q2318229) (← links)
- Robust estimation in multiple linear regression model with non-Gaussian noise (Q2440611) (← links)
- Stochastic differential equations as a tool to regularize the parameter estimation problem for continuous time dynamical systems given discrete time measurements (Q2453769) (← links)
- Estimation of system parameters and predicting the flow function from time series of continuous dynamical systems (Q2478838) (← links)
- Identification of chaotic systems with hidden variables (modified Bock's algorithm) (Q2497661) (← links)
- Data-driven learning of differential equations: combining data and model uncertainty (Q2686515) (← links)
- Learning elliptic partial differential equations with randomized linear algebra (Q2697403) (← links)
- Multi-parameter identification from scalar time series generated by a Malkus-Lorenz water wheel (Q2787727) (← links)
- Local observability of state variables and parameters in nonlinear modeling quantified by delay reconstruction (Q2821582) (← links)
- Multivariate Time Series Analysis (Q2847929) (← links)
- Nonlinear Chaotic Systems Identification from Observed Time Series (Q3130124) (← links)
- Convergence Analysis of the Guaranteed Parameter Estimation Algorithm for Models of One-Dimensional Chaotic Systems (Q3387338) (← links)
- A METHOD FOR PARAMETER ESTIMATION IN LUR'E SYSTEMS (Q3498652) (← links)
- DETECTION THRESHOLD OF THE CONTROL PARAMETERS MODULATION IN A NOISY CHAOTIC MAP (Q3498748) (← links)
- IMPROVED PARAMETER ESTIMATION FROM NOISY TIME SERIES FOR NONLINEAR DYNAMICAL SYSTEMS (Q3498757) (← links)
- NONLINEAR METHODS OF CARDIOVASCULAR PHYSICS AND THEIR CLINICAL APPLICABILITY (Q3502367) (← links)
- Identification of a nonlinear circuit (Q3510523) (← links)
- Degeneracy of time series models: The best model is not always the correct model (Q3531626) (← links)
- Modeling global vector fields of chaotic systems from noisy time series with the aid of structure-selection techniques (Q3531686) (← links)
- On parameter estimation of chaotic systems via symbolic time-series analysis (Q3531694) (← links)
- PARAMETER ESTIMATION FOR SYSTEMS WITH PEAK-TO-PEAK DYNAMICS (Q3536104) (← links)
- A delayed-feedback filter with negative group delay (Q4560282) (← links)
- Identification of dynamical systems with structured uncertainty (Q4563454) (← links)
- An approach to periodic, time-varying parameter estimation using nonlinear filtering (Q4582687) (← links)
- A combined method to estimate parameters of the thalamocortical model from a heavily noise-corrupted time series of action potential (Q4591571) (← links)
- The cardiovascular system: Mathematical modelling, numerical algorithms and clinical applications (Q4594245) (← links)
- Adaptive filtering for hidden node detection and tracking in networks (Q4644253) (← links)
