Nonlinear Systems Identification and Control Using Uncertain Rule-based Fuzzy Neural Systems with Stable Learning Mechanism

No abstract is available for this paper.

• Publication year

  2016

• Venue

  International Journal of Fuzzy Systems

• Publication date

  2016-03-02

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1007/s40815-016-0170-4
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Taiwan

  2018cited by this paper
• Network-based Type-2 Fuzzy System with Water Flow Like Algorithm for System Identification and Signal Processing

  2015cited by this paper
• Adaptive Function-Link Fuzzy CMAC Control System Design for MIMO Nonlinear Chaotic Systems

  2014cited by this paper
• An Efficient Interval Type-2 Fuzzy CMAC for Chaos Time-Series Prediction and Synchronization

  2014cited by this paper
• Type-2 Fuzzy Cerebellar Model Articulation Controller-Based Learning Rate Adjustment for Blind Source Separation

  2014cited by this paper
• DSP-Based Optical Character Recognition System Using Interval Type-2 Neural Fuzzy System

  2014cited by this paper
• Observer-based adaptive control for a class of nonlinear non-affine systems using recurrent-type fuzzy logic systems

  2013cited by this paper
• Intelligent Hybrid Control System Design for Antilock Braking Systems Using Self-Organizing Function-Link Fuzzy Cerebellar Model Articulation Controller

  2013influential reference
• A review on the design and optimization of interval type-2 fuzzy controllers

  2012cited by this paper
• An optimization method for designing type-2 fuzzy inference systems based on the footprint of uncertainty using genetic algorithms

  2012influential reference
• On-line Adaptive Interval Type-2 Fuzzy Controller Design via Stable SPSA Learning Mechanism

  2012cited by this paper
• TSK Fuzzy CMAC-Based Robust Adaptive Backstepping Control for Uncertain Nonlinear Systems

  2012cited by this paper
• Optimization of type-2 fuzzy systems based on bio-inspired methods: A concise review

  2012cited by this paper
• A species-based improved electromagnetism-like mechanism algorithm for TSK-type interval-valued neural fuzzy system optimization

  2011cited by this paper
• Robust Self-Organizing Neural-Fuzzy Control With Uncertainty Observer for MIMO Nonlinear Systems

  2011cited by this paper
• Face Recognition With an Improved Interval Type-2 Fuzzy Logic Sugeno Integral and Modular Neural Networks

  2011cited by this paper
• Design of interval type-2 fuzzy models through optimal granularity allocation

  2011cited by this paper
• Sine-square embedded fuzzy sets

  2010cited by this paper
• An improved method for edge detection based on interval type-2 fuzzy logic

  2010cited by this paper
• Sine-square embedded fuzzy sets

  2010cited by this paper
• Nonlinear System Identification: An Effective Framework Based on the Karhunen–LoÈve Transform

  2009cited by this paper
• A Self-Evolving Interval Type-2 Fuzzy Neural Network With Online Structure and Parameter Learning

  2008cited by this paper
• Fuzzy Wavelet Neural Networks for Identification and Control of Dynamic Plants—A Novel Structure and a Comparative Study

  2008cited by this paper
• Type-2 FLCs: A New Generation of Fuzzy Controllers

  2007cited by this paper
• An adaptive neuro-fuzzy filter design via periodic fuzzy neural network

  2005cited by this paper
• An Adaptive Filter Design via Periodic Fuzzy Neural Network

  2005cited by this paper
• Embedded Type-2 FLC for Real-Time Speed Control of Marine and Traction Diesel Engines

  2005cited by this paper
• Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems

  2002influential reference
• Stable fuzzy neural tracking control of a class of unknown nonlinear systems based on fuzzy hierarchy error approach

  2002cited by this paper
• Fuzzy Tracking Control Design for Nonlinear Dynamic Systems via T – S Fuzzy Model

  2001cited by this paper
• Identification and control of dynamic systems using recurrent fuzzy neural networks

  2000cited by this paper
• A fuzzy neural network based on fuzzy hierarchy error approach

  2000cited by this paper
• Uncertainty, fuzzy logic, and signal processing

  2000cited by this paper
• Type-2 fuzzy logic systems

  1999cited by this paper
• A fuzzy neural network to SAR image classification

  1998cited by this paper
• Fuzzy sets

  1996cited by this paper
• Identification and control of dynamical systems using neural networks

  1990cited by this paper
• The concept of a linguistic variable and its application to approximate reasoning - I

  1975cited by this paper
• The concept of a linguistic variable and its application to approximate reasoning-III

  1975cited by this paper

• Power Load Forecast Based on Fuzzy BP Neural Networks with Dynamical Estimation of Weights

  2020cites this paper
• Event-Triggered State Estimation for T–S Fuzzy Neural Networks with Stochastic Cyber-Attacks

  2019cites this paper
• Adaptive Impedance Force Controller Design for Robot Manipulator including Actuator Dynamics

  2017cites this paper