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There are now several examples of reformed systems with long, successful track records.
This is in principle justified for deep groundwater systems with long water residence times.
The special architecture and its learning algorithm give ULN more representing abilities to model and control complicated nonlinear systems with long time delay.
The general architecture and adaptive learning algorithm give ULN more representing abilities to model and control the nonlinear black box systems with long time delay.
After inclusion of these enhancements a robust design method is obtained, which provides good performance even for systems with long dead time and is easy to implement.
This paper discusses universal learning network (ULN) and its application to control a class of nonlinear systems with long time delay.
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Bouchet, F., Gupta, S. & Mukamel, D. Thermodynamics and dynamics of systems with long-range interactions.
Richerme, P. et al. Non-local propagation of correlations in quantum systems with long-range interactions.
Richerme, P., et al., "Non-local propagation of correlations in quantum systems with long-range interactions," Nature, 2014.
Design systems with long-term coverage in mind: Once a system is in place, long-term coverage can be an issue.
Both are similar open innovation systems, with long-lived conversion assets, waves of capacity investment, and cyclical utilization and margins.
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CEO of Professional Science Editing for Scientists @ prosciediting.com