Fuzzy wavelet neural adaptive finite-time self-triggered fault-tolerant control for a quadrotor unmanned aerial vehicle with scheduled performance
This paper focuses on fuzzy wavelet neural networks-based adaptive finite-time self-
triggered fault-tolerant control design with assured tracking performance for a quadrotor …
triggered fault-tolerant control design with assured tracking performance for a quadrotor …
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 …
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
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 …
(FO) nonlinear systems subject to input quantization and unknown control directions by …
Event-triggered sliding mode control for attitude stabilization of a rigid spacecraft
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 …
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 …
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
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 …
(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 …
(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 …
mode dynamics subject to an upper-triangular structure has been discussed in this paper …
General memristor with applications in multilayer neural networks
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 …
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
This article presents a new command-filtered composite adaptive neural control scheme for
uncertain nonlinear systems. Compared with existing works, this approach focuses on …
uncertain nonlinear systems. Compared with existing works, this approach focuses on …