9 research outputs found
Distributed Robust Model Predictive Control of Interconnected Polytopic Systems
International audienceA suboptimal approach to distributed robust MPC for uncertain systems consisting of polytopic subsystems with coupled dynamics subject to both state and input constraints is proposed. The robustness is defined in terms of the optimization of a cost function accumulated over the uncertainty and satisfying state constraints for a finite subset of uncertainties. The approach reformulates the original centralized robust MPC problem into a quadratic programming problem, which is solved by distributed iterations of the dual accelerated gradient method. A stopping condition is used that allows the iterations to stop when the desired performance, stability, and feasibility can be guaranteed. This allows for the approach to be used in an embedded robust MPC implementation. The developed method is illustrated on a simulation example of an uncertain system consisting of two interconnected polytopic subsystems
Constrained distributed model predictive control for state-delayed systems with polytopic uncertainty description
Sensor-based assessment of herbicide effects
Non-destructive assessment of herbicide effects may be
able to support integrated weed management. To test
whether effects of herbicides on canopy variables could
be detected by sensors, two crops were used as models
and treated with herbicides at BBCH 20 using a loga rithmic sprayer. Twelve days after spraying at BBCH 25
and 42 days after sowing, nine sensor systems scanned a
spring barley and an oilseed rape field experiment sown
at different densities and sprayed with increasing field
rates of glyphosate and tribenuron-methyl. The objec tive was to compare ED50s for crops and weeds derived
by the different sensors in relation to crop density and
herbicides. Although sensors were not directly
developed to detect herbicide symptoms, they all
detected changes in canopy colours or height and crop
density. Generally ED50s showed the same pattern in
response to crop density within herbicide, but there were
marked differences between barley and oilseed rape. We
suggest that the results of comparing the various sensor
outputs could become a stepping stone to future stan dardisation for the benefit of the research and develop ment of sensors that will detect herbicide effect on crops
and weeds, particularly at the most vulnerable stages of
development of the canopy.We wish to thank EWRS and the University of Copenhagen for partly financial support.Peer reviewe