Journal article

Analytical results for the multi-objective design of model-predictive control

Vincent Bachtiar, Chris Manzie, William H Moase, Eric C Kerrigan

Control Engineering Practice | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2016

Abstract

In model-predictive control (MPC), achieving the best closed-loop performance under a given computational capacity is the underlying design consideration. This paper analyzes the MPC tuning problem with control performance and required computational capacity as competing design objectives. The proposed multi-objective design of MPC (MOD-MPC) approach extends current methods that treat control performance and the computational capacity separately – often with the latter as a fixed constraint – which requires the implementation hardware to be known a priori. The proposed approach focuses on the tuning of structural MPC parameters, namely sampling time and prediction horizon length, to produce ..

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