Title :
A computationally advantageous reparameterisation of a robust model predictive control scheme
Author :
Amir R. Neshastehriz;Michael Cantoni;Iman Shames
Author_Institution :
Department of Electrical and Electronic Engineering, University of Melbourne, Parkville VIC 3010, Australia
Abstract :
In this paper, a two step reparameterisation is proposed to reduce the computational cost of an online constraint tightening model predictive control (MPC) scheme for control of linear systems subject to time-varying state constraints and a bounded disturbance. The method is an exact reparameterisation based on well-established linear algebra techniques and does not cause degradation in the performance when compared to the original problem. Applying the reparameterisation, a smaller problem is to be solved at each step which yields computational benefits as demonstrated via a numerical example.
Keywords :
"Optimization","Robustness","Uncertainty","Predictive control","Trajectory","Computational complexity","Australia"
Conference_Titel :
Control Conference (AUCC), 2014 4th Australian
DOI :
10.1109/AUCC.2014.7358679