Linear Offset-Free Model Predictive Control in the Dynamic PLS Framework
Abstract
This work addresses the model predictive control (MPC) of the offset-free tracking problem in the dynamic partial least square (DyPLS) framework. Firstly, state space MPC based on the DyPLS is proposed. Then, two methods are proposed to solve the offset-free problem. One is to reform the state space model as a velocity form. Another is to augment the state space model with a disturbance model and estimate the mismatch between system output and...
Paper Details
Title
Linear Offset-Free Model Predictive Control in the Dynamic PLS Framework
Published Date
Dec 24, 2018
Journal
Volume
10
Issue
1
Pages
5 - 5
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