A Model Predictive Control Scheme with Ultimate Bound for Economic Optimization

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Alessandretti, A (Author) Other; Aguiar, AP (Author) FEUP; Jones, CN (Author) Other

Conference proceedings International

Title: Proceedings of the American Control Conference

Pages: 1653-1658

2015 American Control Conference, ACC 2015

1 July 2015 through 3 July 2015

Indexing

ISI Web of Knowledge - 5 Citations

Scopus - 5 Citations

Other information

Authenticus ID: P-00G-KWA

DOI: 10.1109/acc.2015.7170970

Abstract (EN): This paper presents a Model Predictive Control (MPC) scheme for nonlinear continuous-time systems where an economic stage cost, which is not a measure of the distance to a desired set point, is combined with a classic stabilizing stage cost. The associated control strategy leads to a closed-loop behavior that in a seamless way compromises between the convergence of the closed-loop state trajectory to a given steady-state and the minimization of the economic cost. More precisely, we derive a set of sufficient conditions under which the closed-loop state trajectory is ultimately bounded around the desired steady-state, with the size of the bound being proportional to the strength of the economic cost. Numerical results show the effectiveness of the proposed scheme on a simultaneous target estimation and tracking control problem.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6