scholarly journals Neural network-based nonsingular fixed-time pose tracking control for spacecraft with actuator faults

2022 ◽  
Author(s):  
Yuxia Ji ◽  
Li Chen ◽  
Dexin Zhang ◽  
Xiaowei Shao
Keyword(s):  
Neural Network ◽  
Tracking Control ◽  
Fixed Time ◽  
Actuator Faults ◽  
Pose Tracking

scholarly journals Adaptive Fixed-Time Neural Network Tracking Control of Nonlinear Interconnected Systems

Entropy ◽  
2021 ◽  
Vol 23 (9) ◽  
pp. 1152
Author(s):  
Yang Li ◽  
Jianhua Zhang ◽  
Xinli Xu ◽  
Cheng Siong Chin
Keyword(s):  
Neural Network ◽  
Tracking Control ◽  
Fixed Time ◽  
Convergence Time ◽  
Interconnected Systems ◽  
Adaptive Backstepping ◽  
Step Procedure ◽  
Control Scheme ◽  
Lyapunov Stability Analysis ◽  
Unknown System

In this article, a novel adaptive fixed-time neural network tracking control scheme for nonlinear interconnected systems is proposed. An adaptive backstepping technique is used to address unknown system uncertainties in the fixed-time settings. Neural networks are used to identify the unknown uncertainties. The study shows that, under the proposed control scheme, each state in the system can converge into small regions near zero with fixed-time convergence time via Lyapunov stability analysis. Finally, the simulation example is presented to demonstrate the effectiveness of the proposed approach. A step-by-step procedure for engineers in industry process applications is proposed.

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