Command filter-based adaptive neural finite-time control for stochastic nonlinear systems with time-varying full-state constraints and asymmetric input saturation

Y Li, B Niu, G Zong, J Zhao, X Zhao - International Journal of …, 2022 - Taylor & Francis
This article studies a tracking control problem for a class of stochastic nonlinear systems with
time-varying full-state constraints and asymmetric input saturation. Firstly, the Gauss Error …

Adaptive neural networks finite-time optimal control for a class of nonlinear systems

Y Li, T Yang, S Tong - IEEE Transactions on Neural Networks …, 2019 - ieeexplore.ieee.org
This article addresses the finite-time optimal control problem for a class of nonlinear systems
whose powers are positive odd rational numbers. First of all, a finite-time controller, which is …

Adaptive fuzzy practical fixed-time tracking control of nonlinear systems

M Chen, H Wang, X Liu - IEEE Transactions on Fuzzy Systems, 2019 - ieeexplore.ieee.org
This article investigates an adaptive practical fixed-time control strategy for the output
tracking control of a class of strict feedback nonlinear systems. By utilizing a backstepping …

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 …

Finite-time adaptive fuzzy tracking control design for nonlinear systems

F Wang, B Chen, X Liu, C Lin - IEEE Transactions on Fuzzy …, 2017 - ieeexplore.ieee.org
This paper addresses the finite-time tracking problem of nonlinear pure-feedback systems.
Unlike the literature on traditional finite-time stabilization, in this paper the nonlinear system …

Observer-based adaptive fuzzy decentralized optimal control design for strict-feedback nonlinear large-scale systems

S Tong, K Sun, S Sui - IEEE Transactions on Fuzzy Systems, 2017 - ieeexplore.ieee.org
In this paper, the problem of adaptive fuzzy decentralized optimal control is investigated for a
class of nonlinear large-scale systems in strict-feedback form. The considered nonlinear …

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 fuzzy tracking control design for SISO uncertain nonstrict feedback nonlinear systems

S Tong, Y Li, S Sui - IEEE Transactions on Fuzzy Systems, 2016 - ieeexplore.ieee.org
This paper investigates an adaptive fuzzy tracking control design problem for single-input
and single-output uncertain nonstrict feedback nonlinear systems. For the cases of the states …

Event-triggered adaptive fuzzy control for stochastic nonlinear systems with unmeasured states and unknown backlash-like hysteresis

Z Zhu, Y Pan, Q Zhou, C Lu - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
This article investigates the event-triggered control problem for stochastic nonlinear systems
with unmeasured states and unknown backlash-like hysteresis. Based on the fuzzy logic …

Adaptive fuzzy control for nonstrict-feedback systems with input saturation and output constraint

Q Zhou, L Wang, C Wu, H Li… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper presents an adaptive fuzzy control approach for a category of uncertain nonstrict-
feedback systems with input saturation and output constraint. A variable separation …