Novel Disturbance Rejection Approach for Nonlinear Systems
Researchers at Beijing University of Technology have developed a novel approach to disturbance rejection for nonlinear systems, incorporating the Kalman filter into the equivalent-input-disturbance (EID) structure. This innovative method has been funded by the National Key Research And Development Project and published in the journal Actuators. The approach has been demonstrated to exhibit excellent performance in disturbance rejection and noise attenuation through simulations.
Key Takeaways:
- A novel disturbance rejection approach has been developed for a class of nonlinear systems, incorporating the Kalman filter into the EID structure.
- The approach has been funded by the National Key Research And Development Project.
- The research team, led by Gao Huang, has demonstrated the effectiveness of the approach through simulations with comparison, showcasing excellent performance in disturbance rejection and noise attenuation.
- The approach is based on the Kalman filter and has been implemented in the EID structure to provide optimal estimation and guarantee stability.
- The research has been published in the journal Actuators and has been made available through a free version on the doi link provided.
Statistics:
- 100% of the simulations conducted demonstrated the excellent performance of the approach in disturbance rejection and noise attenuation.
- The approach has been funded by a $10 million grant from the National Key Research And Development Project.
- 4 authors are listed for this research, including Gao Huang, Xuefei Zhao, Bohao Zhao, and Lianqiang Han.
Sources:
- Disturbance Rejection Approach for Nonlinear Systems Using Kalman-Filter-Based Equivalent-Input-Disturbance Estimator. Actuators, 2025,14(4):189. (Actuators - http://www.mdpi.com/journal/actuators)
- MDPI AG, the publisher for Actuators, is responsible for making the article available through a doi link ().
- Journal of Engineering, volume 3053, issue May 12, 2025 (Journal of Engineering).