This paper demonstrates the use of Model Predictive Control (MPC) to system control. Dynamic Matrix Control (DMC) method was chosen and its functionality was verified by a simulation of system control based on a real laboratory model. A control algorithm and the simulation were realized in MATLAB/SIMULINK program environment. Results have proven capabilities of DMC method to control stable osci...

Abstract—In dynamic system theory a mathematical model is often used to describe their properties. In order to find a transfer matrix of a dynamic system we need to calculate an inverse matrix. The paper contains the fusion of the classical theory and the procedures used in the theory of automated control for calculating the inverse matrix. The final part of the paper models the given problem b...

the aim of the present study was to develop a tissue-engineering approach through alginate gel molding to mimic cartilage tissue in a three-dimensional culture system. the perfusion biomimetic bioreactor was designed to mimic natural joint. the shear stresses exerting on the bioreactor chamber were calculated by computational fluid dynamic (cfd). several alginate/bovine chondrocyte constructs w...

This paper is concerned with the problem of synchronization for complex dynamic networks with state and coupling time-delays. Therefore, larger class and more complicated complex dynamic networks can be considered for the synchronization problem. Based on the Lyapunov-Krasovskii functional, a delay-independent criterion is obtained and formulated in the form of linear matrix inequalities (LMIs)...

In this paper, a new numerical method for solving fractional optimal control problems (FOCPs) is presented. The fractional derivative in the dynamic system is described in the Caputo sense. The method is based upon biorthogonal cubic Hermite spline multiwavelets approximations. The properties of biorthogonal multiwavelets are first given. The operational matrix of fractional Riemann-Lioville in...