Qingquan Liu Xin Huo Kangzhi Liu Hui Zhao Aijing Wu
Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022 233-237 2022年
There is a problem of insufficient reference tracking accuracy in servo system driven by permanent magnet synchronous motor (PMSM), which limits its application. This paper aims to propose a modified error-driven preset-input least mean square ada...
Spatially cyclic disturbances exist widely in rotating machines. They usually have fixed spatial cycles rather than constant time periods, which affect the stationarity of angular speed tracking. An input matching least mean square (LMS) adaptive ...
Accurate prediction of the rate of penetration (ROP) is a difficult issue in the drilling process, especially under complex formation conditions. Many methods, such as mechanism and machine learning, were introduced to investigate it. However, mos...
Liangguang Wu Yonghua Xiong Kang-Zhi Liu Jinhua She
INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND DISTRIBUTED SYSTEMS 28(5) 517-533 2022年
The development of 5G and internet of things technologies has promoted the application of crowdsensing services. Consequently, online crowdsensing markets, based on data trade, have emerged. In this article, we first investigate the status quo of ...
Pan Yu Kang-Zhi Liu Xudong Liu Jinhua She Xiaoli Li
2022 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM) 2022-July 915-920 2022年
Disturbances are inevitable in control practice. Many methods have been reported for disturbance rejection. Among them, equivalent-input-disturbance (EID) approach is effective for both matched and mismatched disturbances. However, since the distu...
大学院国際学術研究院