Optimized dynamic policy for receding horizon control of linear time-varying systems with bounded disturbances
This paper deals with the problem of reducing the online computational complexity of receding horizon control (RHC) algorithms for a class of linear systems with a polytopic system description and with bounded additive disturbances. We explore a class of admissible polytopic controller dynamics invo...
Main Authors: | Gautam, A., Yun-Chung Chu., Yeng Chai Soh. |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/95597 http://hdl.handle.net/10220/11259 |
Similar Items
-
Robust H∞ receding horizon control for a class of coordinated control problems involving dynamically decoupled subsystems
by: Gautam, Ajay, et al.
Published: (2014) -
Optimized dynamic policy for robust receding horizon control
by: Ajay Gautam
Published: (2012) -
Receding horizon cache and extreme learning machine based reinforcement learning
by: Shao, Zhifei, et al.
Published: (2013) -
Linear set-membership state estimation with unknown but bounded disturbances
by: Foo, Y. K., et al.
Published: (2013) -
Robust model predictive control and receding horizon based observer for a brushless DC drive
by: Zhuang, Hualiang.
Published: (2008)