LQR controller tuning by using particle swarm optimization
LQR is an optimal controller. Optimal in that it is defined so as to provide the smallest possible error to its input. Q and R matrix of LQR usually selected by trial and error. In two wheeled inverted pendulum robot, the most important variable to control is tilt angle. Therefore in this thesis, th...
Saved in:
主要作者: | M. Lamin Gabasa, Hagag |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2009
|
主題: | |
在線閱讀: | http://eprints.utm.my/id/eprint/12197/6/HagagMLaminMFKE2009.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Application of harmony search algorithm and particle swarm optimization for tuning proportional differential fuzzy controller for position control in pneumatic actuator
由: Mohd. Ishak, Hirzi
出版: (2013) -
Optimization a wind farm using particle swarm optimization
由: Rahmani, Rasoul
出版: (2010) -
Optimal design for multiple mode charging station with PI controller using particle swarm optimization
由: Shafad, Khairul Hafiz
出版: (2017) -
Unit commitment scheduling using particle swarm optimization
由: Alhaji, Dodo Mustapha
出版: (2018) -
Optimal allocation and sizing of distributed generation using particle swarm optimization in distribution system
由: Mohd Radzi, Mohd Zulhisham
出版: (2013)