Recently, a Model Predictive Control(MPC) suitable for closed-loop re-identification wasproposed ([1]). This strategy try to solve the potentialconflict between the persistent excitation of the sys-tem - necessary to perform a suitable identification -and the stabilizing control objectives. The main idea isto extend the concept of equilibrium-point-stability tothe invariant-set-stability, and propose an MPC that:steers the system to that invariant set, when outside,and persistently excite the system, when inside. In thiswork, an application of this MPC to a nonlinear poly-merization reactor simulator is made to explore thedifficulties arising from the intention to approach reallife problems. Several scenarios are simulated in or-der to clearly show the benefits and limitations of theproposed MPC strategy.

(2013). Application of Model predictive control suitable for closed loop re-identification to a polymerization reactor . Retrieved from http://hdl.handle.net/10446/169474

Application of Model predictive control suitable for closed loop re-identification to a polymerization reactor

Ferramosca, Antonio;
2013-01-01

Abstract

Recently, a Model Predictive Control(MPC) suitable for closed-loop re-identification wasproposed ([1]). This strategy try to solve the potentialconflict between the persistent excitation of the sys-tem - necessary to perform a suitable identification -and the stabilizing control objectives. The main idea isto extend the concept of equilibrium-point-stability tothe invariant-set-stability, and propose an MPC that:steers the system to that invariant set, when outside,and persistently excite the system, when inside. In thiswork, an application of this MPC to a nonlinear poly-merization reactor simulator is made to explore thedifficulties arising from the intention to approach reallife problems. Several scenarios are simulated in or-der to clearly show the benefits and limitations of theproposed MPC strategy.
2013
Bustos, German; González, Alejandro H.; Ferramosca, Antonio; Marchetti, Jacinto
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/169474
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