Nonlinear System Identification
From MaRDI portal
Publication:2847892
DOI10.1002/9781118535561zbMath1287.93101OpenAlexW4254218124WikidataQ56673326 ScholiaQ56673326MaRDI QIDQ2847892
Publication date: 12 September 2013
Full work available at URL: https://doi.org/10.1002/9781118535561
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (95)
Statistical Learning of Nonlinear Stochastic Differential Equations from Nonstationary Time Series using Variational Clustering ⋮ Multistage for identification of Wiener time delay systems based on hierarchical gradient approach ⋮ Data-driven model reduction, Wiener projections, and the Koopman-Mori-Zwanzig formalism ⋮ System identification through Lipschitz regularized deep neural networks ⋮ Power Transformer Forecasting in Smart Grids Using NARX Neural Networks ⋮ The estimation method of normalized nonlinear output frequency response functions with only response signals under stochastic excitation ⋮ Improvements in stable inversion of NARX models by using Mann iteration ⋮ Stability orthogonal regression for system identification ⋮ A comparative and experimental study on gradient and genetic optimization algorithms for parameter identification of linear MIMO models of a drilling vessel ⋮ Nonlinear model identification and spectral submanifolds for multi-degree-of-freedom mechanical vibrations ⋮ A Spatial Frequency Domain Analysis of the Belousov–Zhabotinsky Reaction ⋮ Enhanced algorithm for randomised model structure selection ⋮ Data-Driven Discovery of Closure Models ⋮ Sparse reduced-order modelling: sensor-based dynamics to full-state estimation ⋮ Analysis of nonlinear state space model with dependent measurement noises ⋮ Computation of the largest positive Lyapunov exponent using rounding mode and recursive least square algorithm ⋮ Cross-codifference for bidimensional VAR(1) time series with infinite variance ⋮ Influence of Sampling Rate and Discretization Methods in the Parameter Identification of Systems with Hysteresis ⋮ Forecasting and uncertainty quantification using a hybrid of mechanistic and non-mechanistic models for an age-structured population model ⋮ Model structure selection for switched NARX system identification: a randomized approach ⋮ A sliding-window approximation-based fractional adaptive strategy for Hammerstein nonlinear ARMAX systems ⋮ On the analysis of pseudo-orbits of continuous chaotic nonlinear systems simulated using discretization schemes in a digital computer ⋮ Non-parametric identification of homogeneous dynamical systems ⋮ Structure discrimination in block-oriented models using linear approximations: a theoretic framework ⋮ Identification of block-oriented nonlinear systems starting from linear approximations: a survey ⋮ A randomised approach for NARX model identification based on a multivariate Bernoulli distribution ⋮ Resilient fault-tolerant anti-synchronization for stochastic delayed reaction-diffusion neural networks with semi-Markov jump parameters ⋮ Data-based stochastic model reduction for the Kuramoto-Sivashinsky equation ⋮ Multiscale model reduction for incompressible flows ⋮ One-shot set-membership identification of generalized Hammerstein-Wiener systems ⋮ Tracking nonlinear correlation for complex dynamic systems using a windowed error reduction ratio method ⋮ Neural network-based parametric system identification: a review ⋮ Modeling nonlinear systems using the tensor network B‐spline and the multi‐innovation identification theory ⋮ Stochastic dynamic analysis of composite plates in thermal environments using nonlinear autoregressive model with exogenous input in polynomial chaos expansion surrogate ⋮ Optimal filtering equations in state space model of the two factors mean reverting Ornstein-Uhlenbech process ⋮ Learning low-dimensional separable decompositions of MIMO non-linear systems ⋮ Kernel functions embed into the autoencoder to identify the sparse models of nonlinear dynamics ⋮ Automated multi-objective system identification using grammar-based genetic programming ⋮ Deep subspace encoders for nonlinear system identification ⋮ A robust model structure selection method for small sample size and multiple datasets problems ⋮ Rapid uncertainty quantification for non-linear and stochastic wind excited structures: a metamodeling approach ⋮ A randomized algorithm for nonlinear model structure selection ⋮ Fast evaluation of generalized associated linear equations (GALEs) for nonlinear systems characterization and compensation ⋮ Data-driven reduced order models using invariant foliations, manifolds and autoencoders ⋮ Iterative learning identification: Dynamic parametrization modeling and comparison ⋮ Generalized Savitzky-Golay filters for identification of nonstationary systems ⋮ \(U\)-model and \(U\)-control methodology for nonlinear dynamic systems ⋮ Algorithms for U-model-based dynamic inversion (UM-dynamic inversion) for continuous time control systems ⋮ Identification of stochastic nonlinear models using optimal estimating functions ⋮ A tree adjoining grammar representation for models of stochastic dynamical systems ⋮ An enhanced linear Kalman filter (EnLKF) algorithm for parameter estimation of nonlinear rational models ⋮ Nonlinear system identification with regularized tensor network B-splines ⋮ Forecasting of nonlinear dynamics based on symbolic invariance ⋮ Sparse learning of partial differential equations with structured dictionary matrix ⋮ On the use of interval extensions to estimate the largest Lyapunov exponent from chaotic data ⋮ Deep learning of dynamics and signal-noise decomposition with time-stepping constraints ⋮ Ranking the importance of variables in nonlinear system identification ⋮ Model selection for dynamical systems via sparse regression and information criteria ⋮ Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data ⋮ Efficient least angle regression for identification of linear-in-the-parameters models ⋮ Non-fragile dissipative state estimation for semi-Markov jump inertial neural networks with reaction-diffusion ⋮ Improved discrete techniques of time-delay and order estimation for large-scale interconnected nonlinear systems ⋮ SINDy-PI: a robust algorithm for parallel implicit sparse identification of nonlinear dynamics ⋮ Fault detection strategy combining NARMAX model and Bhattacharyya distance for process monitoring ⋮ System identification by operatorial cancellation of nonlinear terms and application to a class of Volterra models ⋮ Memory-based reduced modelling and data-based estimation of opinion spreading ⋮ Koopman operator framework for time series modeling and analysis ⋮ WH-EA: an evolutionary algorithm for Wiener-Hammerstein system identification ⋮ Control of complex nonlinear dynamic rational systems ⋮ Identification and frequency domain analysis of non-stationary and nonlinear systems using time-varying NARMAX models ⋮ Linear prediction error methods for stochastic nonlinear models ⋮ Gradient-based adaptation of continuous dynamic model structures ⋮ A new convergence analysis for the Volterra series representation of nonlinear systems ⋮ Recursive nonlinear-system identification using latent variables ⋮ The effects of linear and nonlinear characteristic parameters on the output frequency responses of nonlinear systems: the associated output frequency response function ⋮ The analysis of nonlinear systems in the frequency domain using nonlinear output frequency response functions ⋮ Identification of Wiener-Hammerstein models based on variational Bayesian approach in the presence of process noise ⋮ Identification of distributed-parameter systems from sparse measurements ⋮ Operator inference of non-Markovian terms for learning reduced models from partially observed state trajectories ⋮ A randomized two-stage iterative method for switched nonlinear systems identification ⋮ A general U-block model-based design procedure for nonlinear polynomial control systems ⋮ Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation ⋮ Identification of the dynamic parametrical model with an iterative orthogonal forward regression algorithm ⋮ Identification of nonlinear time-varying systems using an online sliding-window and common model structure selection (CMSS) approach with applications to EEG ⋮ Constrained sparse Galerkin regression ⋮ Identification of continuous-time models for nonlinear dynamic systems from discrete data ⋮ Detecting unreliable computer simulations of recursive functions with interval extensions ⋮ 9 From the POD-Galerkin method to sparse manifold models ⋮ Sparse identification of nonlinear dynamics for model predictive control in the low-data limit ⋮ An iterative orthogonal forward regression algorithm ⋮ Design of fractional hierarchical gradient descent algorithm for parameter estimation of nonlinear control autoregressive systems ⋮ Parametric identification of parallel Wiener-Hammerstein systems ⋮ On the role of nonlinear correlations in reduced-order modelling ⋮ U-model enhanced control of non-minimum phase systems ⋮ Volterra series identification and its applications in structural identification of nonlinear block-oriented systems
This page was built for publication: Nonlinear System Identification
