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— In this paper we present a methodology for achieving real-time control of systems modeled by partial differential equations. The methodology uses the explicit solution of the model predictive control (MPC) problem combined with model reduction. The explicit solution of the MPC problem leads to on-line MPC functionality without having to solve an(More)
In this paper we present a framework for achieving constrained optimal real-time control for large-scale systems with fast dynamics. The methodology uses the explicit solution of the model predictive control (MPC) problem combined with model reduction, in an output-feedback implementation. The explicit solution of the MPC problem leads to online MPC(More)
BACKGROUND Given the high burden of cervical cancer in low-income settings, there is a need for a convenient and affordable method for detecting and treating pre-cancerous lesions. METHODS Samples for comparing the accuracy of cytology, virology and histology were collected. Identification of HPV E6/E7 mRNA was performed using PreTect HPV-Proofer. HPV DNA(More)
— In this paper, we present a systematic procedure for obtaining closed-loop stable output-feedback model pre-dictive control based on reduced-order models. The design uses linear state estimators, and applies to open-loop stable systems with hard input-and soft state constraints. Robustness against the model reduction error is obtained by choosing the cost(More)
Exogenously administered B-type natriuretic peptide (BNP) has been shown to offer cardioprotection through activation of particulate guanylyl cyclase (pGC), protein kinase G (PKG) and KATP channel opening. The current study explores if cardioprotection afforded by short intermittent BNP administration involves PI3K/Akt/p70s6k dependent signaling, and(More)
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