Sentence examples for implementation of robust from inspiring English sources
The committee, a News Corp body, was set up to cooperate with the Leveson inquiry into phone hacking and to oversee the implementation of robust governance at NI.
But such a view is not well supported by the lessons of history, which show that effective implementation of robust legislation has been vital in the fight against child labour.
These drives need to be considered in the design and implementation of robust strategies for this sector.
This paper considers the design and implementation of robust multivariable controllers for a real process control plant.
However, practical implementation of robust control can be fragile due to controller inaccuracies (tolerance of resistors used with operational amplifiers).
This study demonstrates successful implementation of robust design tools in the production of environmentally benign biomedical products and reducing carbon footprint, while simultaneously increasing robustness and reducing cost.
A solution to this problem requires implementation of robust-adaptive control methods combining conventional approaches with new learning approaches in order to achieve good performance.
Our toolbox currently contains implementations of robust methods for location and scale estimation, covariance estimation (FAST-MCD), regression (FAST-LTS, MCD-regression), principal component analysis (RAPCA, ROBPCA), principal component regression (RPCR), partial least squares (RSIMPLS) and classification (RDA).
Also of great interest are implementations of robust artificial systems that use evolutionary computation as a key component of their architecture.
Regardless of approach, implementation of a robust qCP strategy prior to human studies that is both robust to this accelerated development paradigm and flexible to changes to the development plan would maximize chances for impact.
Other research interests include the design and implementation of distributed robust planning algorithms to coordinate multiple autonomous vehicles in dynamic uncertain environments; robust and adaptive control to enable autonomous agile flight and aerobatics; and reinforcement learning for real-time mechanical and aerospace applications.
