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Title
Nonlinear MIMO System Identification with Echo-State Networks
Authors
Keywords
-
Journal
Journal of Control Automation and Electrical Systems
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-01-04
DOI
10.1007/s40313-021-00874-y
References
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Related references
Note: Only part of the references are listed.- Online sequential echo state network with sparse RLS algorithm for time series prediction
- (2019) Cuili Yang et al. NEURAL NETWORKS
- Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere
- (2019) Pietro Verzelli et al. Scientific Reports
- A Nonlinear Autoregressive Exogenous (NARX) Neural Network Model for the Prediction of the Daily Direct Solar Radiation
- (2018) Zina Boussaada et al. Energies
- Echo state kernel recursive least squares algorithm for machine condition prediction
- (2018) Haowen Zhou et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Adaptive lasso echo state network based on modified Bayesian information criterion for nonlinear system modeling
- (2018) Junfei Qiao et al. NEURAL COMPUTING & APPLICATIONS
- Laplacian Echo State Network for Multivariate Time Series Prediction
- (2018) Min Han et al. IEEE Transactions on Neural Networks and Learning Systems
- A novel combined model based on echo state network for multi-step ahead wind speed forecasting: A case study of NREL
- (2018) Yanhua Chen et al. ENERGY CONVERSION AND MANAGEMENT
- Echo State Networks for data-driven downhole pressure estimation in gas-lift oil wells
- (2017) Eric A. Antonelo et al. NEURAL NETWORKS
- Robust echo state networks based on correntropy induced loss function
- (2017) Yu Guo et al. NEUROCOMPUTING
- Reservoir Computing Beyond Memory-Nonlinearity Trade-off
- (2017) Masanobu Inubushi et al. Scientific Reports
- A local Echo State Property through the largest Lyapunov exponent
- (2016) Gilles Wainrib et al. NEURAL NETWORKS
- A novel model of leaky integrator echo state network for time-series prediction
- (2015) Shu-Xian Lun et al. NEUROCOMPUTING
- Identification of nonlinear system using extreme learning machine based Hammerstein model
- (2013) Yinggan Tang et al. Communications in Nonlinear Science and Numerical Simulation
- Re-visiting the echo state property
- (2012) Izzet B. Yildiz et al. NEURAL NETWORKS
- Chaotic Time Series Prediction Based on a Novel Robust Echo State Network
- (2012) Decai Li et al. IEEE Transactions on Neural Networks and Learning Systems
- Minimum Complexity Echo State Network
- (2010) A Rodan et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Memory traces in dynamical systems
- (2008) S. Ganguli et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
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