Nonlinear System Identification Based on Internal Recurrent Neural Networks

No abstract is available for this paper.

• Publication year

  2009

• Venue

  International Journal of Neural Systems

• Publication date

  2009-04-01

• Fields of study

  Medicine, Computer Science, Engineering

• Identifiers
  DOI 10.1142/S0129065709001884PMID 19496207
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Substructure system identification from coupled system test data

  2008cited by this paper
• Bayesian wavelet packet denoising for structural system identification

  2007cited by this paper
• Dynamic Fuzzy Wavelet Neural Network Model for Structural System Identification

  2006cited by this paper
• Automotive Control Systems

  2005cited by this paper
• Dynamic Wavelet Neural Network for Nonlinear Identification of Highrise Buildings

  2005cited by this paper
• An Algorithm and Properties Enabling Identification of Bifurcation Subsystems

  2005cited by this paper
• Speed, size, and edge-rate information for the detection of collision events.

  1999cited by this paper
• Stable dynamic backpropagation learning in recurrent neural networks

  1999cited by this paper
• DriS - A Virtual Driving Simulator

  1997cited by this paper
• A recurrent Newton algorithm and its convergence properties

  1995cited by this paper
• A Survey of Mid-Level Driving Simulators

  1995cited by this paper
• Back propagation through adjoints for the identification of nonlinear dynamic systems using recurrent neural models

  1994cited by this paper
• Memory neuron networks for identification and control of dynamical systems

  1994cited by this paper
• Learning internal representations by error propagation

  1986cited by this paper

• DEJRNN: A novel fusion recurrent neural network-based complex dynamical system modeling and the convergence analysis

  2025cites this paper
• Identification of main control parameters for train unmanned driving systems

  2021cites this paper
• Robust Learning of Physics Informed Neural Networks

  2021cites this paper
• Recipes for when physics fails: recovering robust learning of physics informed neural networks

  2021cites this paper
• Disaster management system

  2019cites this paper
• Lyapunov Theory-Based Fusion Neural Networks for the Identification of Dynamic Nonlinear Systems

  2019cites this paper
• Personal seismograph system - a functional prototype

  2019cites this paper
• An Overview on Stochastic Global Optimization and its Multi-Domain Applications

  2019cites this paper
• Neural inverse optimal control for discrete-time impulsive systems

  2018cites this paper
• Monitoring of soil moisture in Long-Term Ecological Research (LTER) sites of Romanian Carpathians

  2018cites this paper
• The identification method of tree species using UV–VIS–IR technology and deep learning methods. Case study – Indepedenta Forest.

  2018cites this paper
• A system of recurrent neural networks for modularising, parameterising and dynamic analysis of cell signalling networks

  2017cites this paper
• Fine-tuning enhanced probabilistic neural networks using metaheuristic-driven optimization

  2016cites this paper
• A Developed Local Polynomial Neuro-Fuzzy Model for Nonlinear System Identification

  2014cites this paper
• Innovative NARX recurrent neural network model for ultra-thin shape memory alloy wire

  2014cites this paper
• A Gray-Box Neural Network-Based Model Identification and Fault estimation Scheme for nonlinear Dynamic Systems

  2013cites this paper
• Indirect Adaptive Control of nonlinear Systems Based on Bilinear Neuro-Fuzzy Approximation

  2013cites this paper
• Virtual Testing of Buckling-Restrained Braces via Nonlinear Autoregressive Exogenous Neural Networks

  2013cites this paper
• Novel recurrent neural network for modelling biological networks: Oscillatory p53 interaction dynamics

  2013cites this paper
• Discrete-Time Inverse Optimal Control for Nonlinear Systems

  2013cites this paper
• Inverse optimal neural control for a class of discrete‐time nonlinear positive systems

  2012cites this paper
• Intelligent systems for function approximation and the integration of heterogeneous biological data

  2012cites this paper
• Modular identification of the dynamical model of friction force

  2012cites this paper
• A Novel Efficient Learning Algorithm for Self-Generating Fuzzy Neural Network with Applications

  2012cites this paper
• Dynamical Recurrent Neuro-Fuzzy Identification Schemes Employing Switching parameter Hopping

  2012cites this paper
• Structural Analysis with Fuzzy Data and Neural Network Based Material Description

  2012cites this paper
• Inverse optimal neural control of blood glucose level for type 1 diabetes mellitus patients

  2012cites this paper
• Blood glucose Level Neural Model for Type 1 Diabetes Mellitus Patients

  2011cites this paper
• Recurrent neural networks for fuzzy data

  2011cites this paper
• Nonlinear System Identification and Control Based on Modular Neural Networks

  2011cites this paper
• Optimising operational costs using Soft Computing techniques

  2011cites this paper
• Neural model of blood glucose level for Type 1 Diabetes Mellitus Patients

  2011cites this paper
• robabilistic neural networks for diagnosis of Alzheimer ’ s disease using onventional and wavelet coherence

  2011cites this paper
• Generating Balanced Learning and Test Sets for Function Approximation Problems

  2011cites this paper
• Nonlinear Torque and Air-to-Fuel Ratio Control of SPARK Ignition Engines Using Neuro-Sliding Mode Techniques

  2011cites this paper
• Commande bio-inspirée et genèse de mouvements rythmiques en robotique

  2011cites this paper
• Recurrent Neural Networks for Uncertain Time‐Dependent Structural Behavior

  2010cites this paper
• Variable Selection in Nonlinear Modeling Based on RBF Networks and Evolutionary Computation

  2010cites this paper
• Indirect Adaptive Control of Unknown Multi Variable nonlinear Systems with Parametric and Dynamic Uncertainties Using a New Neuro-Fuzzy System Description

  2010cites this paper
• An Online Self-Organizing Scheme for Parsimonious and Accurate Fuzzy Neural Networks

  2010cites this paper
• Muscle Emulation with DC Motor and Neural Networks for Biped Robots

  2010cites this paper
• A Discrete-Time Recurrent Neurofuzzy Network for Black-Box Modeling of insulin Dynamics in Diabetic Type-1 Patients

  2010cites this paper
• Discrete-Time Reduced Order Neural Observers for Uncertain Nonlinear Systems

  2010cites this paper
• A New Direct Adaptive regulator with Robustness Analysis of Systems in Brunovsky Form

  2010cites this paper
• Enhanced probabilistic neural network with local decision circles: A robust classifier

  2010cites this paper
• A New Neural Observer for an Anaerobic Bioreactor

  2010cites this paper
• Wavelet-Chaos-Neural Network Models for EEG-Based Diagnosis of Neurological Disorders

  2010cites this paper
• GROWTH RATE MODELING FOR WHITE POPLAR IN THE SOUTH EASTERN PART OF ROMANIA: AN IMPORTANT ISSUE OF FOREST CONSERVATION

  year unknowncites this paper