Title Oracle-based economic predictive control
Authors MANZANO CRESPO, JOSÉ MARÍA, Munoz de la Pena, David , Limon, Daniel
External publication No
Means Comput. Chem. Eng.
Scope Article
Nature Científica
JCR Quartile 1
SJR Quartile 1
Area International
Publication date 01/10/2021
ISI 000684566700013
DOI 10.1016/j.compchemeng.2021.107434
Abstract This paper presents an economic model predictive controller, under the assumption that the only measurable signal of the plant is the economic cost to be minimized. In order to forecast the evolution of this economic cost for a given input trajectory, a prediction model with a NARX structure, the so-called oracle , is proposed. Sufficient conditions to ensure the existence of such oracle are studied, proving that it can be derived for a general nonlinear system if the economic cost function is a Morse function. Based on this oracle, economic model predictive controllers are proposed, and their stability is demonstrated in nominal conditions under a standard dissipativity assumption. The viability of these controllers in practical settings (where the oracle may provide imperfect predictions for generic inputs) is proven by means of input-to-state stability. These properties have been illustrated in a case study based on a continuously stirred tank reactor. (c) 2021 Elsevier Ltd. All rights reserved.
Keywords Economic predictive control; Nonlinear systems; NARX models; Identification; Data-based MPC
Universidad Loyola members

Change your preferences Manage cookies