ANALYSIS AND DESIGN LINEAR MODEL PREDICITIVE CONTROL WITH MATRIX INEQUALITIES
Model Predictive Control (MPC), also known as receding horizon control, is the most effective tools deal with multivariable constrained control problem. The constraint can be system constraints, input and output constraints. Main principle of MPC is finding optimal input sequence by online optimizat...
Saved in:
Main Author: | GANESHA SRI BAGUS WARMAN (NIM 23205028), ESHA |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/7837 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Decoupling control design via linear matrix inequalities
by: Yang, Y.-S., et al.
Published: (2014) -
Regula Fuzzy Controller Design on Model of Motion System of the Satellite Based on Linear Matrix Inequality
by: Solikhatun,, et al.
Published: (2011) -
MODEL REDUCTION OF LINEAR PARAMETER VARYING SYSTEMS BASED ON LINEAR MATRIX INEQUALITIES
by: Wakhid Musthofa (NIM 20105016), Muhammad -
Linear controller for the NXT ballbot with parameter variations using linear matrix inequalities
by: Wang, Yu
Published: (2017) -
Robust controller design for a rotary double inverted pendulum using linear matrix inequalities
by: Ha, Hoang
Published: (2011)