Finite-time adaptive fuzzy control for nonlinear systems with full state constraints

J **a, J Zhang, W Sun, B Zhang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, an adaptive fuzzy controller is constructed to address the finite-time tracking
control problem for a class of strict-feedback nonlinear systems, where the full state …

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 …

Optimal robot–environment interaction under broad fuzzy neural adaptive control

H Huang, C Yang, CLP Chen - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article proposes a novel control strategy based on a broad fuzzy neural network (BFNN)
which is subjected to contact with the unknown environment. Compared with the …

Composite adaptive disturbance observer-based decentralized fractional-order fault-tolerant control of networked UAVs

Z Yu, Y Zhang, B Jiang, J Fu, Y **… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article considers the decentralized fractional-order fault-tolerant control problem for
unmanned aerial vehicles (UAVs) against wind disturbances and actuator faults in a …

Adaptive sliding mode output feedback control for dynamic positioning ships with input saturation

K Liang, X Lin, Y Chen, J Li, F Ding - Ocean Engineering, 2020 - Elsevier
In this paper, a finite-time observer-based adaptive sliding mode output feedback controller
is developed for dynamic positioning ship while the Coriolis matrix, hydrodynamic nonlinear …

Finite-time tracking control for stochastic nonlinear systems with full state constraints

J Zhang, J **a, W Sun, G Zhuang, Z Wang - Applied Mathematics and …, 2018 - Elsevier
In this paper, an adaptive finite-time controller is constructed for stochastic nonlinear
systems with parametric uncertainties. All the states in the systems are constrained in a …

Cooperative learning-based formation control of autonomous marine surface vessels with prescribed performance

SL Dai, S He, Y Ma, C Yuan - IEEE Transactions on Systems …, 2021 - ieeexplore.ieee.org
This article addresses the cooperative learning formation control problem for multiple
homogeneous marine surface vessels (MSVs) subject to external time-varying disturbances …

An acceleration-level data-driven repetitive motion planning scheme for kinematic control of robots with unknown structure

Z **e, L **, X Luo, B Hu, S Li - IEEE Transactions on Systems …, 2021 - ieeexplore.ieee.org
It is generally considered that controlling a robot precisely becomes tough on the condition
of unknown structure information. Applying a data-driven approach to the robot control with …

A novel asymmetrical integral barrier Lyapunov function-based trajectory tracking control for hovercraft with multiple constraints

M Fu, L Dong, Y Xu, D Bai - Ocean Engineering, 2022 - Elsevier
This paper addresses the trajectory tracking control problem of a hovercraft with
asymmetrical time-varying multiple state constraints in the presence of unmodeled dynamics …

Decentralized adaptive command filtered neural tracking control of large-scale nonlinear systems: An almost fast finite-time framework

JD Liu, B Niu, YG Kao, P Zhao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, a decentralized adaptive finite-time tracking control scheme is proposed for a
class of nonstrict feedback large-scale nonlinear interconnected systems with disturbances …