@inbook{43e1464243ff4931936765ce8bada2f2,
title = "Closed-loop subspace predictive control",
abstract = "This chapter considers subspace predictive control of systems whose dynamics can be described locally by LTI models. The control algorithm is based on the predictor-based subspace identification framework. In a linear least-squares problem, the observer Markov parameters of the system are recursively estimated. Those parameters are used to construct an output predictor which is in turn used to solve a predictive control problem subject to constraints.",
keywords = "Closed loop systems, Closed-loop subspace predictive control, Invariance, Least squares approximations, Linear least-squares problem, LTI model, Markov processes, Observer markov parameter, Observers, Predictive control, Predictor-based subspace identification framework, Recursive estimation, Spc",
author = "{Van Der Veen}, Gijs and {Van Wingerden}, {Jan Willem} and Michel Verhaegen",
year = "2015",
doi = "10.1049/PBCE080E_ch7",
language = "English",
isbn = "9781849196147",
volume = "80",
series = "IET Control Engineering Series",
publisher = "Institution of Engineering and Technology",
pages = "143--157",
editor = "M Lovera",
booktitle = "Control-Oriented Modelling and Identification: Theory and Practice",
address = "United Kingdom",
}