In this paper the problem of linear mean square optimization with scalar control and perturbation is' considered.
Such staggering lateral excursions also are apparent in published records of linear mean swimming paths of human sperm [ 16, 17], and presumably have a similar previously unrecognized basis, obscured by the symmetrical spatulate morphology of the head of human (and most other mammalian) sperm.
A general problem of continuous-time linear mean-square estimation of a signal under widely linear processing is studied.
The linear mean of these angles is (1°+359°)/2 = 180° and the linear standard deviation is 253.1°.
After correction for observed differences between the groups by means of linear regression analyses, the mean annual total compulsory insurance costs of patients of CAM GP practices are €225 (95% CI 169 to 281; p<0.001; 12.4%) lower.
It does not deal with other means of linear or nonlinear vibration absorbers.
Such conditions can be conveniently expressed by means of Linear Matrix Inequalities (LMIs).
These conditions are expressed by means of linear matrix inequalities (LMIs) which are easy to check.
First, the critical state is characterized by means of linear eigenvalue analysis.
This problem is solved by means of linear matrix inequalities (LMIs).
