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This paper describes a fast optimization algorithm for Model Predictive Control (MPC) with soft constraints. The method relies on the Kreisselmeier-Steinhauser function to provide a smooth approximation of the penalty function for a soft constraint. By introducing this approximation directly into the objective of an interior point optimization, there is no need for additional slack variables to capture...
On behalf of the European Control Association (EUCA) and the Conference Organizing Committee, I would like to welcome you to the 12th European Control Conference. Each day the conference is focused on a particular theme • Computation • Energy • Biology
On behalf of the International Program Committee (IPC) and the IPC co-chairs, G. Ferrari-Trecate, P. Goulart, M. Heemels, K. Johansson, S. Kowalewski, B. Sinopoli, and J. Zaytoon I would like to welcome you to the 2013 European Control Conference.
Model Predictive Control (MPC) is the most used advanced control technique in process industries, since it ensures stability, constraints satisfaction and convergence to the setpoint. The optimal setpoint is calculated by the Real Time Optimizer (RTO), minimizing the economic objective taking into account the operational limits of the plant. Since RTO employs complex stationary nonlinear models to...
The European Journal of Control is undergoing important changes: • Starting from January 2013 (Issue 19/1), and following a long negotiation with Lavoisier, the journal is published by Elsevier, see: www.journals.elsevier.com/european-journal-of-control • Current and past issues of the journal are available at http://www.sciencedirect.com/science/journal/09473580 • Submissions are accepted on-line,...
The European Control Conference (ECC) has been organized every two years under the auspices of the European Control Association (EUCA) since 1991. From 2013 on it will take place annually.
This paper presents an improvement to the MPC tuning approach presented in [1]. The drawbacks of the former approach are discussed and a new tuning approach is proposed to overcome them. The primary aim is to treat linear MPC as a classical controller design problem and to use the tools of linear control theory for determining the tuning parameters. MPC tuning is performed for a desired open-loop...
In this paper, we present a novel linear model predictive control (MPC) scheme that relies on a continuous-time, barrier function based algorithm which asymptotically tracks the solution of a time-varying open-loop optimal control problem. In particular, the control input is obtained as the sampled output of a continuous-time dynamical system and no iterative optimization algorithm is needed in the...
The ECC13 Best Student Paper award recognizes excellence in a paper presented at the European Control Conference whose primary author is a student at the time of submission. The five finalists for ECC13 are listed. The winner will be announced at the conference banquet.
Provides an abstract for each of the 3 plenary presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
Provides an abstract for each of the 6 plenary presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
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