Adaptive neural network control for a class of nonlinear systems with function constraints on states

YJ Liu, W Zhao, L Liu, D Li, S Tong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this article, the problem of tracking control for a class of nonlinear time-varying full state
constrained systems is investigated. By constructing the time-varying asymmetric barrier …

Observer-based adaptive fuzzy tracking control for strict-feedback nonlinear systems with unknown control gain functions

S Tong, X Min, Y Li - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
This article investigates the adaptive fuzzy output-feedback backstep** control design
problem for uncertain strict-feedback nonlinear systems in the presence of unknown virtual …

Finite-time adaptive fuzzy output feedback dynamic surface control for MIMO nonstrict feedback systems

Y Li, K Li, S Tong - IEEE Transactions on Fuzzy Systems, 2018 - ieeexplore.ieee.org
This paper investigates the finite-time adaptive fuzzy control problem for a class of multi-
input and multi-output (MIMO) nonlinear nonstrict feedback systems. During the control …

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 neural fixed-time tracking control for high-order nonlinear systems

J Ma, H Wang, J Qiao - IEEE Transactions on Neural Networks …, 2022 - ieeexplore.ieee.org
The problem of adaptive neural fixed-time tracking control for high-order systems is
addressed in this article. In order to handle the difficulties from the uncertain nonlinearities …

Event‐triggered adaptive tracking control for uncertain fractional‐order nonstrict‐feedback nonlinear systems via command filtering

Y Li, H Wang, X Zhao, N Xu - International Journal of Robust …, 2022 - Wiley Online Library
This article puts forward an event‐triggered adaptive neural tracking control strategy for a
class of uncertain fractional‐order nonstrict‐feedback nonlinear systems with full‐state …

Adaptive fuzzy control for nontriangular structural stochastic switched nonlinear systems with full state constraints

K Sun, S Mou, J Qiu, T Wang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The problem of adaptive fuzzy control is investigated for a class of nontriangular structural
stochastic switched nonlinear systems with full state constraints in this paper. A remarkable …

Event-triggered control for multiagent systems with sensor faults and input saturation

L Cao, H Li, G Dong, R Lu - IEEE Transactions on Systems …, 2019 - ieeexplore.ieee.org
An adaptive neural network (NN) event-triggered control scheme is proposed for nonlinear
nonstrict-feedback multiagent systems (MASs) against input saturation, unknown …

Adaptive neural network tracking control for robotic manipulators with dead zone

Q Zhou, S Zhao, H Li, R Lu, C Wu - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, the adaptive neural network (NN) tracking control problem is addressed for
robot manipulators subject to dead-zone input. The control objective is to design an adaptive …

Finite-time consensus tracking neural network FTC of multi-agent systems

G Dong, H Li, H Ma, R Lu - IEEE Transactions on Neural …, 2020 - ieeexplore.ieee.org
The finite-time consensus fault-tolerant control (FTC) tracking problem is studied for the
nonlinear multi-agent systems (MASs) in the nonstrict feedback form. The MASs are subject …