Observer-based finite-time adaptive fuzzy control with prescribed performance for nonstrict-feedback nonlinear systems

G Cui, J Yu, P Shi - IEEE Transactions on Fuzzy Systems, 2020 - ieeexplore.ieee.org
This article considers the problem of finite-time adaptive fuzzy prescribed performance
control (PPC) via output-feedback for nonstrict-feedback nonlinear systems. The fuzzy state …

Neural network control-based adaptive learning design for nonlinear systems with full-state constraints

YJ Liu, J Li, S Tong, CLP Chen - IEEE transactions on neural …, 2016 - ieeexplore.ieee.org
In order to stabilize a class of uncertain nonlinear strict-feedback systems with full-state
constraints, an adaptive neural network control method is investigated in this paper. The …

Adaptive neural output feedback control of uncertain nonlinear systems with unknown hysteresis using disturbance observer

M Chen, SS Ge - IEEE Transactions on Industrial Electronics, 2015 - ieeexplore.ieee.org
In this paper, an adaptive neural output feedback control scheme is proposed for uncertain
nonlinear systems that are subject to unknown hysteresis, external disturbances, and …

Adaptive fault-tolerant control of uncertain nonlinear large-scale systems with unknown dead zone

M Chen, G Tao - IEEE Transactions on Cybernetics, 2015 - ieeexplore.ieee.org
In this paper, an adaptive neural fault-tolerant control scheme is proposed and analyzed for
a class of uncertain nonlinear large-scale systems with unknown dead zone and external …

Fuzzy neural network-based adaptive control for a class of uncertain nonlinear stochastic systems

CLP Chen, YJ Liu, GX Wen - IEEE Transactions on Cybernetics, 2013 - ieeexplore.ieee.org
This paper studies an adaptive tracking control for a class of nonlinear stochastic systems
with unknown functions. The considered systems are in the nonaffine pure-feedback form …

Adaptive neural network asymptotic control design for MIMO nonlinear systems based on event-triggered mechanism

Y Liu, Q Zhu - Information Sciences, 2022 - Elsevier
This article presents an adaptive neural network event-triggered asymptotic tracking control
strategy for multi-input and multi-output (MIMO) nonlinear systems with state constraints and …

Adaptive neural control of uncertain nonlinear systems using disturbance observer

M Chen, SY Shao, B Jiang - IEEE transactions on cybernetics, 2017 - ieeexplore.ieee.org
This paper studies the problem of prescribed performance adaptive neural control for a class
of uncertain multi-input and multi-output (MIMO) nonlinear systems in the presence of …

Adaptive controller design-based ABLF for a class of nonlinear time-varying state constraint systems

YJ Liu, S Lu, D Li, S Tong - IEEE Transactions on Systems …, 2016 - ieeexplore.ieee.org
In this paper, we address an adaptive control problem for a class of nonlinear strict-feedback
systems with uncertain parameter. The full states of the systems are constrained in the …

A novel robust fuzzy integral sliding mode control for nonlinear semi-Markovian jump T–S fuzzy systems

B Jiang, HR Karimi, Y Kao, C Gao - IEEE Transactions on Fuzzy …, 2018 - dl.acm.org
This paper addresses the issue of robust fuzzy sliding mode control for continuous-time
nonlinear Takagi–Sugeno fuzzy systems with semi-Markovian switching. The focus is on …

Neural-network-based adaptive decentralized fault-tolerant control for a class of interconnected nonlinear systems

XJ Li, GH Yang - IEEE transactions on neural networks and …, 2016 - ieeexplore.ieee.org
This paper is concerned with the adaptive decentralized fault-tolerant tracking control
problem for a class of uncertain interconnected nonlinear systems with unknown strong …