Analysis and Correction of Ill-Conditioned Model in Multivariable Model Predictive Control

Autor:	Hao Pan, Dewei Du, Tao Zou, Haibin Yu
Rok vydání:	2015
Předmět:	Model predictive control Computer science Control theory Process (engineering) Singular value decomposition Control (management) Linear algebra System identification Multivariable model
Zdroj:	Intelligent Robotics and Applications ISBN: 9783319228785 ICIRA (1)
Popis:	The ill-conditioned model is a common problem in model predictive control. The model ill-conditioned can lead to control performance declining obviously from steady-state model of process in this paper. The direction of output movement is relevant to whether the model is ill-conditioned by simulation and analysis. Model mismatch also leads to model ill-conditioned becoming more serious. The geometry tools and SVD in linear algebra are used to analyze the essential reason of ill-conditioned model, and an offline strategy is proposed which can solve the ill-conditioned model problem together with existing online strategies. Finally, the simulations are used to prove the conclusions which presented in this paper are correct.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9305274bfc914cc93371c9946953a2e8 https://doi.org/10.1007/978-3-319-22879-2_56 Zobrazit plný text záznamu