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 …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
strategy for multi-input and multi-output (MIMO) nonlinear systems with state constraints and …
Adaptive neural control of uncertain nonlinear systems using disturbance observer
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 …
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 …
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 …
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
This paper is concerned with the adaptive decentralized fault-tolerant tracking control
problem for a class of uncertain interconnected nonlinear systems with unknown strong …
problem for a class of uncertain interconnected nonlinear systems with unknown strong …