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AUTOMATICA
2005
103views more  AUTOMATICA 2005»
13 years 7 months ago
Incorporating state estimation into model predictive control and its application to network traffic control
Model predictive control (MPC) is of interest because it is one of the few control design methods which preserves standard design variables and yet handles constraints. MPC is nor...
Jun Yan, Robert R. Bitmead
MICCAI
2007
Springer
14 years 8 months ago
Modelling Intravasation of Liquid Distension Media in Surgical Simulators
We simulate the intravasation of liquid distention media into the systemic circulation as it occurs during hysteroscopy and transurethral resection of the prostate. A linear networ...
Stefan Tuchschmid, Michael Bajka, Dominik Szczerba...
CDC
2008
IEEE
112views Control Systems» more  CDC 2008»
14 years 2 months ago
A preliminary study on the effects of roll dynamics in predictive vehicle stability control
Abstract— A Model Predictive Control (MPC) -based approach is presented for autonomous path following via Active Front Steering (AFS). We start from the Nonlinear MPC (NMPC) prob...
Giovanni Palmieri, Paolo Falcone, H. Eric Tseng, L...
ICAISC
2004
Springer
14 years 1 months ago
Semi-mechanistic Models for State-Estimation - Soft Sensor for Polymer Melt Index Prediction
Nonlinear state estimation is a useful approach to the monitoring of industrial (polymerization) processes. This paper investigates how this approach can be followed to the develop...
Balazs Feil, János Abonyi, Peter Pach, Sand...
BC
2000
95views more  BC 2000»
13 years 7 months ago
Cerebellar learning of accurate predictive control for fast-reaching movements
Long conduction delays in the nervous system prevent the accurate control of movements by feedback control alone. We present a new, biologically plausible cerebellar model to study...
Jacob Spoelstra, Nicolas Schweighofer, Michael A. ...