Unconstrained tracking MPC for continuous-time nonlinear systems
In this paper, we extend unconstrained model predictive control (MPC) from setpoint stabilization to dynamic reference tracking for continuous-time nonlinear systems. In particular, we focus on the case when the reference cannot be perfectly tracked by the system due to dynamics and/or constraints....
Saved in:
Main Authors: | Long, Yushen, Xie, Lihua |
---|---|
其他作者: | School of Electrical and Electronic Engineering |
格式: | Article |
語言: | English |
出版: |
2022
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/159357 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |
相似書籍
-
Distributed non-cooperative robust MPC based on reduced-order models
由: Long, Yushen, et al.
出版: (2016) -
MPC-based unified trajectory planning and tracking control approach for Automated Guided Vehicles∗
由: Li, Juncheng, et al.
出版: (2020) -
Stochastic Channel Allocation for Nonlinear Systems with Markovian Packet Dropout
由: Long, Yushen, et al.
出版: (2018) -
A MPC-based method for single-inductor multiple-input single-output boost converter
由: Wang, Benfei, et al.
出版: (2020) -
Event-triggered tracking control for nonlinear systems subject to time-varying external disturbances
由: Li, Ting, et al.
出版: (2021)