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Project

Moving horizon estimation: robust stability, robust performance and interaction with model predictive control.

The research group ESAT-SCD (SISTA) has a vast expertise in system identification and control. The methods developed within our group will be employed in the proposed project. Subspace identification [Van Overschee en De Moor, 1996] is a data-based system identification technique yielding state-space models, which are central in model-based estimation and control. Model-based predictive control (MPC) is a popular control methodology which has been a research topic in ESAT-SCD since 1998. In recent years ESAT-SCD contributed significantly in the area of robust MPC (see e.g., [Pluymers et al., 2005]). Techniques for data assimilation and state estimation in large-scale systems were developed and applied to spaceweather forecasting [Barrero et al., 2006; Gillijns et al., 2006]. Current and recent research efforts are in moving horizon estimation (MHE) and simultaneous estimation of states and unknown inputs [Gillijns en De Moor, 2007; Gillijns en De Moor, 2006]. Theoretical advances are combined with real-life applications such as control of glycemia in critically-ill patients and flood prevention in the Demer basin.
Date:1 Jan 2008 →  31 Dec 2011
Keywords:Robust performance, Robust stability
Disciplines:Control systems, robotics and automation, Design theories and methods, Mechatronics and robotics, Computer theory