eprintid: 4018 rev_number: 8 eprint_status: archive userid: 87 dir: disk0/00/00/40/18 datestamp: 2018-03-12 09:30:24 lastmod: 2018-03-12 09:30:24 status_changed: 2018-03-12 09:30:24 type: article metadata_visibility: show creators_name: Zanon, Mario creators_name: Gros, Sébastien creators_name: Diehl, Moritz creators_id: mario.zanon@imtlucca.it creators_id: creators_id: title: Indefinite linear MPC and approximated economic MPC for nonlinear systems ispublished: pub subjects: T1 divisions: CSA full_text_status: restricted keywords: Economic MPC; LQR; Stability theory for MPC abstract: The stability proof for economic model predictive control (MPC) relies on strict dissipativity, which is in general hard to check. In this contribution, we will first analyze the linear quadratic case with possibly indefinite cost. The conditions for stability will be recalled and it will be shown that every stabilizing LQR/MPC has an equivalent positive definite LQR/MPC which yields the same open loop and closed loop behavior. This analysis will then be used to formulate an approximated nonlinear economic MPC scheme, which has stability guarantees. An example will be used to illustrate the proposed technique and show its potential in terms of performance. date: 2014 date_type: published publication: Journal of Process Control volume: 24 number: 8 publisher: Elsevier pagerange: 1273-1281 id_number: doi:10.1016/j.jprocont.2014.04.023 refereed: TRUE issn: 0959-1524 official_url: http://doi.org/10.1016/j.jprocont.2014.04.023 citation: Zanon, Mario and Gros, Sébastien and Diehl, Moritz Indefinite linear MPC and approximated economic MPC for nonlinear systems. Journal of Process Control, 24 (8). pp. 1273-1281. ISSN 0959-1524 (2014) document_url: http://eprints.imtlucca.it/4018/1/1-s2.0-S0959152414001322-main.pdf