Statistical information based two-layer model predictive control with dynamic economy and control performance for non-Gaussian stochastic process

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Ren, M, Chen, J, Shi, Peng ORCID: 0000-0001-8218-586X, Yang, G and Cheng, L (2021) Statistical information based two-layer model predictive control with dynamic economy and control performance for non-Gaussian stochastic process. Journal of the Franklin Institute, 358 (4). pp. 2279-2300. ISSN 0016-0032

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/44674
DOI https://doi.org/10.1016/j.jfranklin.2021.01.007
Official URL http://dx.doi.org/10.1016/j.jfranklin.2021.01.007
Subjects Current > FOR (2020) Classification > 4007 Control engineering, mechatronics and robotics
Current > Division/Research > College of Science and Engineering
Keywords dynamic economic optimization; reference tracking; feedback control; nonlinear system; closed-loop system; system stability
Citations in Scopus 1 - View on Scopus
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