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[HTML][HTML] Composite learning sliding mode synchronization of chaotic fractional-order neural networks
Z Han, S Li, H Liu - Journal of Advanced Research, 2020 - Elsevier
In this work, a sliding mode control (SMC) method and a composite learning SMC (CLSMC)
method are proposed to solve the synchronization problem of chaotic fractional-order neural …
method are proposed to solve the synchronization problem of chaotic fractional-order neural …
A fuzzy Lyapunov function approach for fault estimation of T–S fuzzy fractional-order systems based on unknown input observer
This article discusses the fault estimation (FE) problem of nonlinear fractional-order (FO)
systems subject to faults and unknown inputs through the T–S fuzzy approach. A novel fuzzy …
systems subject to faults and unknown inputs through the T–S fuzzy approach. A novel fuzzy …
Convergent newton method and neural network for the electric energy usage prediction
In the neural network adaptation, the Newton method could find a minimum with its second-
order partial derivatives, and convergent gradient steepest descent could assure its error …
order partial derivatives, and convergent gradient steepest descent could assure its error …
Predefined-time stabilization of T–S fuzzy systems: A novel integral sliding mode-based approach
This article investigates the predefined-time stabilization problems of Takagi–Sugeno (T–S)
fuzzy systems. For addressing the considered problems, a class of novel integral sliding …
fuzzy systems. For addressing the considered problems, a class of novel integral sliding …
Fuzzy-based integral sliding mode control for PMSM with fractional stochastic disturbances
G Panneerselvam, M Annamalai… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The aim of this study is to focus on proposing the theoretical framework for investigating the
stability properties of permanent magnet synchronous motors (PMSMs) considering the …
stability properties of permanent magnet synchronous motors (PMSMs) considering the …
Network-based adaptive multievent-triggered fuzzy dynamic positioning controller design for unmanned surface vehicles against denial-of-service attacks
A fuzzy Lyapunov function method to stability analysis of fractional-order T–S fuzzy systems
X Fan, Z Wang - IEEE Transactions on Fuzzy Systems, 2021 - ieeexplore.ieee.org
This article investigates the stability analysis and stabilization problems for fractional-order T–
S fuzzy systems via fuzzy Lyapunov function method. A membership-function-dependent …
S fuzzy systems via fuzzy Lyapunov function method. A membership-function-dependent …
Input-output finite-time IT2 fuzzy dynamic sliding mode control for fractional-order nonlinear systems
In this work, the issue of input-output finite-time stabilization of fractional-order nonlinear
systems represented by interval type-2 fuzzy models is discussed. Specifically, the …
systems represented by interval type-2 fuzzy models is discussed. Specifically, the …
Design of memory-based adaptive integral sliding-mode controller for fractional-order TS fuzzy systems and its applications
This study investigates the passivity analysis of fractional-order Takagi-Sugeno (TS) fuzzy
systems subject to external disturbances and nonlinear perturbations under an adaptive …
systems subject to external disturbances and nonlinear perturbations under an adaptive …