Adaptive T-S fuzzy controller using reinforcement learning based on Lyapunov stability
type: Item
instance of: scholarly article
title: Adaptive T-S fuzzy controller using reinforcement learning based on Lyapunov stability
zbMATH Open document ID: 1398.93191
author: Yanyan Li
published in: Journal of the Franklin Institute
publication date: 2018-10-17T00:00:00Z
Mathematics Subject Classification ID: 93C42
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 93D05
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 93C20
zbMATH DE Number: 6957439
zbMATH Keywords: adaptive T-S fuzzy controller
zbMATH Keywords: reinforcement learning
zbMATH Keywords: Lyapunov stability
zbMATH Keywords: nonlinear dynamical systems
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2018.06.031
OpenAlex ID: W2861704755
cites work: Fuzzy tracking adaptive control of discrete-time switched nonlinear systems
cites work: Output feedback direct adaptive neural network control for uncertain SISO nonlinear systems using a fuzzy estimator of the control error
cites work: Trajectory tracking control for rotary steerable systems using interval type-2 fuzzy logic and reinforcement learning
cites work: Model-Free control performance improvement using virtual reference feedback tuning and reinforcement Q-learning
cites work: Embedded adaptive fuzzy controller based on reinforcement learning for DC motor with flexible shaft
cites work: Discrete neural dynamic programming in wheeled mobile robot control
cites work: Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming
cites work: Q5497956
cites work: Design of TSK-type fuzzy controllers using differential evolution with adaptive mutation strategy for nonlinear system control
cites work: Genetic programming for model selection of TSK-fuzzy systems
cites work: Online speed controller scheme using adaptive supervisory TSK-fuzzy CMAC for vector controlled induction motor drive
cites work: Research on Type-2 TSK Fuzzy Logic Systems
cites work: Takagi-Sugeno fuzzy model based indirect adaptive fuzzy observer and controller design
cites work: Sliding mode control with adaptive fuzzy dead-zone compensation of an electro-hydraulic servo-system
cites work: Least squares based and gradient based iterative identification for Wiener nonlinear systems
DOI: 10.1016/J.JFRANKLIN.2018.06.031
description: scientific article; zbMATH DE number 6957439