Adaptive NN tracking control for uncertain MIMO nonlinear system with time-varying state constraints and disturbances

S Lu, M Chen, Y Liu, S Shao - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
In this article, an adaptive neural network (NN) tracking control scheme is proposed for
uncertain multi-input–multi-output (MIMO) nonlinear system in strict-feedback form subject to …

Neural network adaptive tracking control of uncertain MIMO nonlinear systems with output constraints and event-triggered inputs

LB Wu, JH Park, XP Xie, YJ Liu - IEEE transactions on neural …, 2020 - ieeexplore.ieee.org
This article is concerned with a neural adaptive tracking control scheme for a class of
multiinput and multioutput (MIMO) nonaffine nonlinear systems with event-triggered …

Robust adaptive NN tracking control for MIMO uncertain nonlinear systems with completely unknown control gains under input saturations

G Zhu, J Du, J Li, Y Kao - Neurocomputing, 2019 - Elsevier
This paper focuses on the study of tracking control problem for a class of multiple-input-
multiple-output (MIMO) uncertain nonlinear systems with completely unknown control gains …

Semi-globally/globally stable adaptive NN backstepping control for uncertain MIMO systems with tracking accuracy known a priori

J Wu, J Li, W Chen - Journal of the Franklin Institute, 2014 - Elsevier
This paper focuses on the problem of direct adaptive neural network (NN) tracking control for
a class of uncertain nonlinear multi-input/multi-output (MIMO) systems by employing …

Command-filter-based adaptive neural tracking control for a class of nonlinear MIMO state-constrained systems with input delay and saturation

Y Zhou, X Wang, R Xu - Neural Networks, 2022 - Elsevier
This paper investigates the problem of adaptive tracking control for a class of nonlinear multi-
input and multi-output (MIMO) state-constrained systems with input delay and saturation …

Adaptive neural output feedback tracking control for a class of uncertain discrete-time nonlinear systems

YJ Liu, CLP Chen, GX Wen… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
This brief studies an adaptive neural output feedback tracking control of uncertain nonlinear
multi-input-multi-output (MIMO) systems in the discrete-time form. The considered MIMO …

Universal neural network control of MIMO uncertain nonlinear systems

Q Yang, Z Yang, Y Sun - IEEE transactions on neural networks …, 2012 - ieeexplore.ieee.org
In this brief, a continuous tracking control law is proposed for a class of high-order multi-
input-multi-output uncertain nonlinear dynamic systems with external disturbance and …

Fuzzy tracking control for a class of uncertain MIMO nonlinear systems with state constraints

W He, L Kong, Y Dong, Y Yu, C Yang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, an adaptive fuzzy neural network (FNN) control scheme is developed for a
class of multipleinput and multiple-output (MIMO) nonlinear systems subject to unknown …

Adaptive neural control of nonlinear MIMO systems with unknown time delays

T Li, R Li, D Wang - Neurocomputing, 2012 - Elsevier
In this paper, a novel adaptive NN control scheme is proposed for a class of uncertain multi-
input and multi-output (MIMO) nonlinear time-delay systems. RBF NNs are used to tackle …

Disturbance observer based adaptive neural control of uncertain MIMO nonlinear systems with unmodeled dynamics

X Wang, X Yin, Q Wu, F Meng - Neurocomputing, 2018 - Elsevier
This paper investigates the disturbance observer-based adaptive neural tracking control of a
class of multiple-input multiple-output (MIMO) systems in the presence of unmodeled …