Nonlinear disturbance observer-based backstepping finite-time sliding mode tracking control of underwater vehicles with system uncertainties and external …

S Liu, Y Liu, N Wang - Nonlinear Dynamics, 2017 - Springer
In this paper, a nonlinear disturbance observer-based backstepping finite-time sliding mode
control scheme for trajectory tracking of underwater vehicles subject to unknown system …

Application of reinforcement learning and deep learning in multiple-input and multiple-output (MIMO) systems

M Naeem, G De Pietro, A Coronato - Sensors, 2021 - mdpi.com
The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …

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 …

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 …

Command filter-based adaptive NN control for MIMO nonlinear systems with full-state constraints and actuator hysteresis

J Qiu, K Sun, IJ Rudas, H Gao - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This article studies the issue of adaptive neural network (NN) control for strict-feedback multi-
input and multioutput (MIMO) nonlinear systems with full-state constraints and actuator …

Command filter-based adaptive neural control design for nonstrict-feedback nonlinear systems with multiple actuator constraints

H Wang, S Kang, X Zhao, N Xu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article proposes an adaptive neural-network command-filtered tracking control scheme
of nonlinear systems with multiple actuator constraints. An equivalent transformation method …

Decentralized adaptive neural two-bit-triggered control for nonstrict-feedback nonlinear systems with actuator failures

F Cheng, H Wang, L Zhang, AM Ahmad, N Xu - Neurocomputing, 2022 - Elsevier
This article studies the adaptive neural decentralized two-bit-triggered control problem for
interconnected large-scale nonlinear systems in nonstrict-feedback forms (NFF) with …

Fuzzy adaptive finite-time control design for nontriangular stochastic nonlinear systems

S Sui, CLP Chen, S Tong - IEEE Transactions on Fuzzy …, 2018 - ieeexplore.ieee.org
This paper solves the stochastically finite-time control problem for uncertain stochastic
nonlinear systems in nontriangular form. The considered controlled plants are different from …

Dynamic movement primitives based robot skills learning

LH Kong, W He, WS Chen, H Zhang… - Machine Intelligence …, 2023 - Springer
In this article, a robot skills learning framework is developed, which considers both motion
modeling and execution. In order to enable the robot to learn skills from demonstrations, a …

Neural networks-based adaptive control for nonlinear state constrained systems with input delay

DP Li, YJ Liu, S Tong, CLP Chen… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
This paper addresses the problem of adaptive tracking control for a class of strict-feedback
nonlinear state constrained systems with input delay. To alleviate the major challenges …