Power systems data fusion based on belief propagation
Francesco Fusco, Seshu Tirupathi, et al.
ISGT-Europe 2017
Energy-maximizing controllers for wave energy devices are normally based on linear hydrodynamic device models. Such models ignore nonlinear effects which typically manifest themselves for large device motion (typical in this application) and may also include other modeling errors. The effectiveness of a controller is, in general, determined by the match between the model the controller is based on and the actual system dynamics. This match becomes especially critical when the controller is highly tuned to the system. In this paper, we present a methodology for reducing this sensitivity to modeling errors and nonlinear effects by the use of a hierarchical robust controller, which shows small sensitivity to modeling errors, but allows good energy maximization to be recovered through a passivity-based control approach. © 2010-2012 IEEE.
Francesco Fusco, Seshu Tirupathi, et al.
ISGT-Europe 2017
Francesco Fusco, Michael Wurst, et al.
ICPR 2012
John V. Ringwood, Giorgio Bacelli, et al.
IEEE Control Systems
Bradley Eck, Francesco Fusco, et al.
EWRI 2015