Adaptive Neural Networks Control for Fractional-Order Uncertain Nonlinear Systems via Command Filter Technique
- Resource Type
- Conference
- Authors
- You, Xingxing; Li, Zhongping; Qiang, Hu; Zhu, Yuqi; Guo, Bin; Dian, Songyi
- Source
- 2023 China Automation Congress (CAC) Automation Congress (CAC), 2023 China. :6294-6299 Nov, 2023
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Adaptive systems
Uncertainty
Backstepping
Artificial neural networks
Filtering algorithms
Control systems
Filtering theory
Adaptive control
Command filter
Fractional-order nonlinear systems
Neural networks control
- Language
- ISSN
- 2688-0938
This work investigates the adaptive neural networks (NNs) control for non-strict feedback fractional-order nonlinear systems (FONSs) while considering the presence of external disturbance and uncertainty. To address the issue of the “explosion of terms”, an adaptive neural controller is devised utilizing the fractional-order command filter, backstepping method and Lyapunov stability theory. The adaptive NNs controller can not only ensure the stability of the closed-loop FONSs but also drive the tracking error to converge to a neighborhood near the origin. Simulation example demonstrates the effectiveness of algorithm.