With an increase in tracking time, the operating cost of controller will accordingly. Considering biological applications Boolean control networks (BCNs), it is necessary to study problem BCNs over finite time. In this paper, we output a BCN with disturbance inputs given First, logical form transformed into algebraic using semi-tensor product (STP) method. Then, robust problems reference trajec...

<p style='text-indent:20px;'>In this paper, we develop a viscosity robust weak Galerkin finite element scheme for Stokes equations. The major idea achieving pressure-independent energy-error estimate is to use divergence preserving velocity reconstruction operator in the discretization of right hand side body force. optimal convergence results and pressure have been established paper. Fin...

Various materials and solid-fluid mixtures of engineering biomedical interest can be modelled as generalised Newtonian fluids, their apparent viscosity depends locally on the flow field. Despite particular features such models, it is common practice to combine them with numerical techniques originally conceived for which bring several issues spurious pressure boundary layers, unsuitable natural...

In many applications, design or analysis is performed over a finite-frequency range of interest. The importance of theH2 norm highlights the necessity of computing this norm accordingly. This paper provides different methods for computing upper bounds of the robust finite-frequency H2 norm for systems with structured uncertainties. An application of the robust finite-frequency H2 norm for a com...

if we try to estimate the parameters of the ar process {xn} using the observed process {xn+zn} then these estimates will be badly biased and not consistent but we can minimize the damage using a robust estimation procedure such as gm-estimation. the question is does additive contamination affect estimates of “core” parameters in the infinite variance case to the same extent that it does in the ...