-
Robustification is a form of
optimisation whereby a
system is made less
sensitive to the
effects of
random variability, or noise, that is
present in that...
-
mission critical control systems without significant simplification and
robustification.
Reinforcement learning algorithms, in particular,
require measuring...
- X,
design of
experiments (DOE),
Taguchi methods,
tolerance design,
robustification and
Response Surface Methodology for a
single or
multiple response...
- 2010).
Taleb has
described his main
challenge as
mapping his
ideas of "
robustification" and "antifragility", that is, how to live and act in a
world we do...
- manufacture,
environment and ****ulative damage. This is
sometimes called robustification.
Robust parameter designs consider controllable and uncontrollable...
-
resulting 'loop-shape' is then 'robustified'
through optimization.
Robustification usually has
little effect at high and low frequencies, but the response...
-
Perturbation analysis Probabilistic design Probability bounds analysis Robustification ROC
curve Uncertainty quantification Variance-based
sensitivity analysis...
-
interaction between control and
uncontrollable noise variables by
robustification—finding the
settings of the
control factors that
minimize response...
-
variables and parameters. This
second approach is
sometimes referred to as
robustification,
parameter design or
design for six sigma.
Though the laws of physics...
