We confined ourselves to one sequence pair each from a multiple alignment as a basis for the substitution matrices (instead of considering all possible pairs) in order to avoid bias towards those proteins whose multiple alignments were constructed from many sequences [2].
Fig. 1 Parity-check matrices of the considered LDPC codes.
The uncertainty parameters are supposed to be time-varying, unknown, but bounded, which appear affinely in the matrices of the considered system model.
The described switching phenomena are all interpreted to be directly related to the presence of an underlying micro-structure in the solid matrices of the considered porous media.
In contrast to the existing methods for designing the SOF H∞ controllers, the output matrices of the considered fuzzy system are allowed to be non-common and to have uncertainties.
The pair of canonical projectors are easily obtained by solving a simple generalized eigenvalue decomposition problem, which only involves the covariance and cross-covariance matrices of the considered random vectors.
Three different approximations are proposed and thus modulated for the three frequency ranges wherein the dynamic matrix of the considered random and convective load has different characteristics.
Novel LMI conditions with a line search over a scalar variable for designing robust SOF controllers are proposed, where the uncertain output matrix of the considered system is allowed to be not of full row rank.
This spectral algorithm is a modern method for solving large-scale nonlinear systems, which does not use any explicit information associated with the Jacobin matrix of the considered system, being a Jacobian-free approach.
To avoid pairs of similar matrices, we considered only combinations of PWMs, which overlapped in less than 10% of the hits of the PWM with the lower total number of matches at a score P-value threshold of 0.001.
