| 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 | 2 |
| SJR Quartile | 1 |
| JCR Impact | 4.13 |
| SJR Impact | 1.017 |
| Web | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110584934&doi=10.1016%2fj.compchemeng.2021.107434&partnerID=40&md5=cab3a6f5d72954438f5e683d8a17a775 |
| Publication date | 01/10/2021 |
| ISI | 000684566700013 |
| Scopus Id | 2-s2.0-85110584934 |
| 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 |