Sentence examples for need for robustness from inspiring English sources
The need for robustness has been recognized in a number of application areas.
The effect of these variations on the stability was studied and it is shown that the need for robustness to such variations leads to a limitation in the performance of an IMC controller.
The demands for high energy density achieved through the use of highly conducting materials with high surface area that enable facile electrochemical processes must now be coupled with the need for robustness and flexibility in each of the components: electrodes and electrolytes.
All maritime applications face the same difficult operating environment: fading channels, rapidly changing environmental conditions, high noise levels at sensors, sparse coverage of the measurement area, limited reliability of communication channels, and the need for robustness and low energy consumption, just to name a few.
There is a need for robustness (to function in high-stress environments with respect to power, heat, dust, vibration, etc).
A virus could overcome this need for robustness by readily utilizing cooperative interactions via strain complementation in co-infected cells.
Context: Measurement programs are subject to changing requirements, causing the need for a robustness to compensate these changes.
This need for physiological robustness implies that biochemical networks should be able to preserve their dynamical properties within reasonable ranges of their kinetic parameters [ 49].
The project has many of the characteristics of the much more open knowledge production systems that it is attempting to analyse - wide social distribution, transdisciplinarity, the need for social robustness, and the creative potential of controversies.
The unreported White test shows the need of robustness for hetheroskedasticity errors in both regressions.
A spokeswoman for the Article WP 29 group told TechCrunch: "The main concern for everyone with the Shield is the need of robustness to avoid re-opening a period of uncertainty for companies, citizens and data protection authorities.
