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Neural network-based flight control systems: Present and future
As the first review in this field, this paper presents an in-depth mathematical view of
Intelligent Flight Control Systems (IFCSs), particularly those based on artificial neural …
Intelligent Flight Control Systems (IFCSs), particularly those based on artificial neural …
[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 …
Positivity and stability analysis for fractional-order delayed systems: a TS fuzzy model approach
This article investigates positivity, external positivity, and asymptotic stability for a large class
of incommensurate fractional-order nonlinear systems (FONSs) with bounded multiple time …
of incommensurate fractional-order nonlinear systems (FONSs) with bounded multiple time …
Fractional-order command filtered backstep** sliding mode control with fractional-order nonlinear disturbance observer for nonlinear systems
S Han - Journal of the Franklin Institute, 2020 - Elsevier
This study developed a fractional-order command filter-based backstep** control (BSC)
combined with a fractional-order sliding mode surface and a fractional-order nonlinear …
combined with a fractional-order sliding mode surface and a fractional-order nonlinear …
Composite observer‐based adaptive event‐triggered backstep** control for fractional‐order nonlinear systems with input constraints
Z Bai, S Li, H Liu - Mathematical Methods in the Applied …, 2023 - Wiley Online Library
An event‐triggered neural adaptive backstep** controller via a state and a disturbance
observers is proposed for uncertain fractional‐order nonlinear systems with time‐varying …
observers is proposed for uncertain fractional‐order nonlinear systems with time‐varying …
Composite adaptive fuzzy bipartite consensus of fractional-order multiagent systems with a switched event-triggered mechanism
This paper focuses on online recorded-data-based composite adaptive fuzzy bipartite
consensus control for uncertain fractional-order multiagent systems with interconnected …
consensus control for uncertain fractional-order multiagent systems with interconnected …
[HTML][HTML] The global sliding mode tracking control for a class of variable order fractional differential systems
J Jiang, H Chen, D Cao, JLG Guirao - Chaos, Solitons & Fractals, 2022 - Elsevier
In this paper, a novel variable order fractional control approach is proposed for tracking
control of both of variable order fractional and constant order fractional order system with …
control of both of variable order fractional and constant order fractional order system with …
Fault estimation and accommodation of fractional-order nonlinear, switched, and interconnected systems
This discusses the fault estimation (FE) and fault accommodation (FA) methods for fractional-
order systems. First, two Lyapunov theorems of input-to-state practical stability are presented …
order systems. First, two Lyapunov theorems of input-to-state practical stability are presented …
A financial chaotic system control method based on intermittent controller
X Lu - Mathematical Problems in Engineering, 2020 - Wiley Online Library
Finance is the core of modern economy. The security and stability of the financial system is
the key to stable economic and social development. During the operation of the financial …
the key to stable economic and social development. During the operation of the financial …
Adaptive estimation and control with online data memory: A historical perspective
Y Pan, T Shi - IEEE Control Systems Letters, 2024 - ieeexplore.ieee.org
Online data memory is essential for adaptive estimation and control as it can enhance the
performance and robustness of adaptive systems compared to adaptive systems without …
performance and robustness of adaptive systems compared to adaptive systems without …