An enhanced robust fault tolerant control based on an adaptive fuzzy PID-nonsingular fast terminal sliding mode control for uncertain nonlinear systems

M Van - IEEE/ASME Transactions on mechatronics, 2018 - ieeexplore.ieee.org
This paper develops an enhanced robust fault tolerant control using a novel adaptive fuzzy
proportional-integral-derivative-based nonsingular fast terminal sliding mode (AF-PID …

Adaptive command filtered neuro-fuzzy control design for fractional-order nonlinear systems with unknown control directions and input quantization

S Song, JH Park, B Zhang, X Song… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article studies the adaptive backstep** control problem for a class of fractional-order
(FO) nonlinear systems subject to input quantization and unknown control directions by …

Event-triggered sliding mode control for attitude stabilization of a rigid spacecraft

Y Liu, B Jiang, J Lu, J Cao, G Lu - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Event-triggering strategy is a control implementation technique which intends to minimizing
resource usage while achieving the acceptable performance of the closed-loop system. In …

Global anti-synchronization of complex-valued memristive neural networks with time delays

D Liu, S Zhu, K Sun - IEEE transactions on cybernetics, 2018 - ieeexplore.ieee.org
This paper formulates a class of complex-valued memristive neural networks as well as
investigates the problem of anti-synchronization for complex-valued memristive neural …

Neuro-fuzzy-based adaptive dynamic surface control for fractional-order nonlinear strict-feedback systems with input constraint

S Song, B Zhang, X Song… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This article investigates the issue of neuro-fuzzy-based adaptive dynamic surface control
(DSC) for uncertain fractional-order (FO) nonlinear systems in strict-feedback form where …

Finite-time stability of delayed memristor-based fractional-order neural networks

C Chen, S Zhu, Y Wei - IEEE transactions on cybernetics, 2018 - ieeexplore.ieee.org
This paper studies one type of delayed memristor-based fractional-order neural networks
(MFNNs) on the finite-time stability problem. By using the method of iteration, contracting …

Second-order sliding mode controller design subject to an upper-triangular structure

K Mei, S Ding - IEEE Transactions on Systems, Man, and …, 2018 - ieeexplore.ieee.org
The second-order sliding mode (SOSM) controller design problem for a class of sliding
mode dynamics subject to an upper-triangular structure has been discussed in this paper …

General memristor with applications in multilayer neural networks

S Wen, X **e, Z Yan, T Huang, Z Zeng - Neural Networks, 2018 - Elsevier
Memristor describes the relationship between charge and flux. Although several window
functions for memristors based on the HP linear and nonlinear dopant drift models have …

Finite-time command-filtered composite adaptive neural control of uncertain nonlinear systems

J Sun, H He, J Yi, Z Pu - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
This article presents a new command-filtered composite adaptive neural control scheme for
uncertain nonlinear systems. Compared with existing works, this approach focuses on …