Stability analysis and robustness design of nonlinear systems: An NN-based approach

Authors:
Cheng-Wu Chen
Affiliations:
Institute of Maritime Information and Technology, National Kaohsiung Marine University, Kaohsiung City 80543, Taiwan, ROC
Venue:
Applied Soft Computing
Year:
2011

Citing 23
Cited 13

Stability analysis and design of fuzzy control systems

Fuzzy Sets and Systems
Analysis and design for a class of complex control systems part II: fuzzy controller design

Automatica (Journal of IFAC)
Stability analysis of T-S fuzzy models for nonlinear multiple time-delay interconnected systems

Mathematics and Computers in Simulation
Stability conditions of fuzzy systems and its application to structural and mechanical systems

Advances in Engineering Software
Particle swarm approaches using Lozi map chaotic sequences to fuzzy modelling of an experimental thermal-vacuum system

Applied Soft Computing
Artificial wavelet neural network and its application in neuro-fuzzy models

Applied Soft Computing
GA-based modified adaptive fuzzy sliding mode controller for nonlinear systems

Expert Systems with Applications: An International Journal
Modeling and control for nonlinear structural systems via a NN-based approach

Expert Systems with Applications: An International Journal
Identification using ANFIS with intelligent hybrid stable learning algorithm approaches and stability analysis of training methods

Applied Soft Computing
Direct adaptive neural control for affine nonlinear systems

Applied Soft Computing
Robust adaptive fuzzy control of unknown chaotic systems

Applied Soft Computing
A hybrid learning algorithm with a similarity-based pruning strategy for self-adaptive neuro-fuzzy systems

Applied Soft Computing
A novel data reduction method for Takagi-Sugeno fuzzy system design based on statistical design of experiment

Applied Soft Computing
The stability of an oceanic structure with T-S fuzzy models

Mathematics and Computers in Simulation
Observer-based relaxed H∞ control for fuzzy systems using a multiple Lyapunov function

IEEE Transactions on Fuzzy Systems
Stability and robustness of fuzzy adaptive control of nonlinear systems

Applied Soft Computing
On reducing computational overhead in multi-objective genetic Takagi-Sugeno fuzzy systems

Applied Soft Computing
Design of a stable fuzzy controller for an articulated vehicle

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An approach to fuzzy control of nonlinear systems: stability and design issues

IEEE Transactions on Fuzzy Systems
Robustness design of nonlinear dynamic systems via fuzzy linear control

IEEE Transactions on Fuzzy Systems
A multiple Lyapunov function approach to stabilization of fuzzy control systems

IEEE Transactions on Fuzzy Systems
Robust stabilization of nonlinear multiple time-delay large-scale systems via decentralized fuzzy control

IEEE Transactions on Fuzzy Systems
Neural network-based control design: an LMI approach

IEEE Transactions on Neural Networks

A simulation study using EFA and CFA programs based the impact of missing data on test dimensionality

Expert Systems with Applications: An International Journal
Computer-aided ergonomics and visualization for improving 3D display techniques

Human Factors in Ergonomics & Manufacturing
SIP-enabled Surveillance Patrol Robot

Robotics and Computer-Integrated Manufacturing
Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir

Applied Soft Computing
A comparison among stochastic optimization algorithms for parameter estimation of biochemical kinetic models

Applied Soft Computing
Optimal control of Takagi-Sugeno fuzzy-model-based systems representing dynamic ship positioning systems

Applied Soft Computing
An observer-based adaptive neural network tracking control of robotic systems

Applied Soft Computing
A particle swarm optimization for a fuzzy multi-objective unrelated parallel machines scheduling problem

Applied Soft Computing
Identifying the tool-tissue force in robotic laparoscopic surgery using neuro-evolutionary fuzzy systems and a synchronous self-learning hyper level supervisor

Applied Soft Computing
Modelling energy storage systems using Fourier analysis: An application for smart grids optimal management

Applied Soft Computing
Improved sensitivity based linear learning method for permeability prediction of carbonate reservoir using interval type-2 fuzzy logic system

Applied Soft Computing
Review Article: Applications of neuro fuzzy systems: A brief review and future outline

Applied Soft Computing
Multiple attribute group decision making methods based on intuitionistic linguistic power generalized aggregation operators

Applied Soft Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this study a neural-network (NN) based approach is developed which combines H^~ control performance with Tagagi-Sugeno (T-S) fuzzy control for the purpose of stabilization and stability analysis of nonlinear systems. A Takagi-Sugeno (T-S) fuzzy model and parallel-distributed compensation (PDC) scheme are first employed to design a nonlinear fuzzy controller for the stabilization of nonlinear systems. The neural-network model is adopted to overcome the modeling error problems found with nonlinear systems. A novel stability condition based on an NN-based controller design is derived to ensure the stability of the nonlinear system. The control problem can now be reformulated as a linear matrix inequality (LMI) problem. A simulation is provided in order to explore the feasibility of the proposed fuzzy controller design method.