Neural-network approximation-based adaptive periodic event-triggered output-feedback control of switched nonlinear systems

S Li, CK Ahn, J Guo, Z Xiang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This study considers an adaptive neural-network (NN) periodic event-triggered control
(PETC) problem for switched nonlinear systems (SNSs). In the system, only the system …

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 …

Fuzzy approximation based asymptotic tracking control for a class of uncertain switched nonlinear systems

X Zhao, X Wang, L Ma, G Zong - IEEE Transactions on Fuzzy …, 2019 - ieeexplore.ieee.org
The problem of asymptotic tracking control for a class of uncertain switched nonlinear
systems under fuzzy approximation framework is solved in this paper. Superior to most …

A novel adaptive NN prescribed performance control for stochastic nonlinear systems

S Sui, CLP Chen, S Tong - IEEE Transactions on Neural …, 2020 - ieeexplore.ieee.org
This article investigates the problem of neural network (NN)-based adaptive backstepping
control design for stochastic nonlinear systems with unmodeled dynamics in finite-time …

Adaptive fuzzy fast finite-time dynamic surface tracking control for nonlinear systems

H Wang, K Xu, PX Liu, J Qiao - IEEE Transactions on Circuits …, 2021 - ieeexplore.ieee.org
In this paper, we investigate the adaptive fast finite-time tracking control problem for a class
of uncertain nonlinear strict-feedback systems by using backstepping technique and fast …

Adaptive neural state-feedback tracking control of stochastic nonlinear switched systems: An average dwell-time method

B Niu, D Wang, ND Alotaibi… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, the problem of adaptive neural state-feedback tracking control is considered
for a class of stochastic nonstrict-feedback nonlinear switched systems with completely …

Neural-network-based adaptive funnel control for servo mechanisms with unknown dead-zone

S Wang, H Yu, J Yu, J Na, X Ren - IEEE transactions on …, 2018 - ieeexplore.ieee.org
This paper proposes an adaptive funnel control (FC) scheme for servo mechanisms with an
unknown dead-zone. To improve the transient and steady-state performance, a modified …

Adaptive fuzzy tracking control of flexible-joint robots based on command filtering

S Ling, H Wang, PX Liu - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
The precise tracking control problem for n-link flexible-joint (FJ) robotic systemsis addressed
in this paper. A new adaptive fuzzy command filtered control strategy is presented, where …

H Tracking Control of Uncertain Markovian Hybrid Switching Systems: A Fuzzy Switching Dynamic Adaptive Control Approach

D Yang, G Zong, SF Su - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
This article investigates the stochastic tracking control problem for uncertain fuzzy Markovian
hybrid switching systems by using a fuzzy switching dynamic adaptive control approach. The …

Adaptive fuzzy dynamic surface control of flexible-joint robot systems with input saturation

S Ling, H Wang, PX Liu - IEEE/CAA Journal of Automatica …, 2019 - ieeexplore.ieee.org
In this paper, we propose an adaptive fuzzy dynamic surface control (DSC) scheme for
single-link flexible-joint robotic systems with input saturation. A smooth function is utilized …