[PDF][PDF] Data–driven online modelling for a UGI gasification process using modified lazy learning with a relevance vector machine

S Liu, H Ji, Z Hou, J Zuo, L Fan - International Journal of Applied …, 2021 - sciendo.com
A modified lazy learning algorithm combined with a relevance vector machine (MLL-RVM) is
presented to address a datadriven modelling problem for a gasification process inside a …

热风洞温度系统的无模型自适应级联控制

陈嘉诚, 杨旭, 马渝翔, 李栋, 董素君… - 北京航空航天大学 …, 2023 - bhxb.buaa.edu.cn
热风洞能够为高温热电偶动态标定和航空发动机叶片热强度测试等应用场景提供均匀且稳定的
温度场, 如何对热风洞所产生的热气流进行宽温范围的温度控制是一个难点. 为此 …

Model-free adaptive cascade control for temperature system of a hot wind tunnel

J CHEN, X YANG, Y MA, D LI, S DONG… - 北京航空航天大学 …, 2023 - bhxb.buaa.edu.cn
For the dynamic calibration of high-temperature thermocouples, the thermal strength test of
aero-engine blades, and other application scenarios, the thermal wind tunnel can offer a …

Data-Driven Adaptive Modelling and Control for a Class of Discrete-Time Robotic Systems Based on a Generalized Jacobian Matrix Initialization

AB Morales-Díaz, J Gómez-Casas, C Treesatayapun… - Mathematics, 2023 - mdpi.com
Data technology advances have increased in recent years, especially for robotic systems, in
order to apply data-driven modelling and control computations by only considering the input …