This paper describes a novel Decentralized Predictive Control (DePC) technique for tracking constant reference signals. The controlled system is supposed to be constituted by a set of non-overlapping subsystems coupled by states and inputs. First the offset-free tracking problem is recast as a regulation one by reformulating the plant model in the so-called “velocity-form”; secondly the decentralized control problem is solved by resorting to “tube-based” robust MPC, where dynamic interactions between subsystems are interpreted as perturbations to be rejected. Convergence results are reported and a simulation example is provided to evaluate the performances of DePC.

Decentralized predictive control for tracking constant references

BETTI, GIULIO;FARINA, MARCELLO;SCATTOLINI, RICCARDO
2013-01-01

Abstract

This paper describes a novel Decentralized Predictive Control (DePC) technique for tracking constant reference signals. The controlled system is supposed to be constituted by a set of non-overlapping subsystems coupled by states and inputs. First the offset-free tracking problem is recast as a regulation one by reformulating the plant model in the so-called “velocity-form”; secondly the decentralized control problem is solved by resorting to “tube-based” robust MPC, where dynamic interactions between subsystems are interpreted as perturbations to be rejected. Convergence results are reported and a simulation example is provided to evaluate the performances of DePC.
2013
Proceedings of the IEEE 52nd Annual Conference on Decision and Control (CDC), 2013
9781467357142
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/823958
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