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Rania Baghdadi,Hamza Alibi,Faten Fayala,Xianyi Zeng 한국섬유공학회 2021 Fibers and polymers Vol.22 No.2
Stiffness is one of the most important utility properties of textile materials and plays a significant role in well-beingdue to its influence on physiological comfort [1]. On that point are a great deal of structural properties of textile materials alsooperating parameters (knitting+finishing) influencing stiffness and there are also statistically significant interactions betweenthe principal factors determining the stiffness of textile materials. As part of our research, we proposed to facilitate theindustry adjust the most relevant operating parameters before actual manufacturing to reach the desired stiffness and satisfyconsumers. It warrants the application of artificial neural nets (ANNs) to predict the stiffness of finished knitted fabrics andthe utilization of the Fuzzy Decision Tree in the selection procedure, to puzzle out the problem of insufficient data and boildown the complexity of predictive models. Moreover, a virtual leave one out approach dealing with overfitting phenomenonand allowing the selection of the optimal neural network architecture was applied.
Huixuan Zhuang,Qinglin Sun,Zengqiang Chen,Xianyi Zeng 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.6
Robust flight control laws based on back-stepping technology and ADRC method are designed for attitude control of a non-linear aircraft system. First, non-linear aircraft model is introduced and converted to standard equation of state. Then, the extended state observer is applied to estimate the unknown variables, the homologous ADRC is designed to ensure the state variables of the CLS to astringe to the reference state. Next, the stability of ESO and ADRC are analyzed and proven theoretically. At last, the effectiveness of this method is illustrated by extensive comparative simulations. The results acquired from simulation attest that ADRC can achieve better control performance than PID and SMC method.
Huixuan Zhuang,Qinglin Sun,Zengqiang Chen,Xianyi Zeng 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.11
In this paper, a novel attitude control method for nonlinear missile system is proposed, which combines backstepping technique with linear active disturbance rejection control (LADRC). Firstly, the nonlinear missilemodel is introduced and transformed into the standard state equation. The linear extended state observer (LESO) is used to estimate the unknown variables. Compared with PID control method, the homologous LADRC designensures that the state variables of the closed-loop system converge to the reference state. The stability of LESO and LADRC is theoretically analyzed and proved. A large number of comparative simulations show the effectiveness ofthe method. The simulation results show that LADRC has better control performance than SMC and PID method.