The impact of model approximation in multiparametric model predictive control
Sign Up to like & getrecommendations! Published in 2018 at "Chemical Engineering Research and Design"
DOI: 10.1016/j.cherd.2018.09.034
Abstract: Abstract Incorporating a high fidelity model that accurately describes a dynamical system in a model predictive control study may often lead to an intractable formulation where the use of model approximation is required. This study… read more here.
Keywords: model predictive; multiparametric model; model; model approximation ... See more keywords
Model Approximation for Switched Genetic Regulatory Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2017.2721448
Abstract: The model approximation problem is studied in this paper for switched genetic regulatory networks (GRNs) with time-varying delays. We focus on constructing a reduced-order model to approximate the high-order GRNs considered under the switching signal… read more here.
Keywords: order; approximation; genetic regulatory; model approximation ... See more keywords