Computer simulation of non-linear preparative chromatography processes

1989 ◽  
Vol 28 (5-6) ◽  
pp. 293-299 ◽  
Author(s):  
R. Nowakowski
2009 ◽  
Vol 4 (2) ◽  
pp. 84-91
Author(s):  
Aleksandr Erokhin ◽  
Anatoliy Medvedko

The article presents the results of modeling and computer simulation of non-linear devices such as the electromagnetic driver of a D.C. circuit breaker. The mechanical and electromagnetic parts of the driver are represented as equivalent electrical circuits and all basic processes of the driver’s magnetic circuit are calculated.


2003 ◽  
Vol 42 (Part 1, No. 11) ◽  
pp. 6983-6987 ◽  
Author(s):  
Takaaki Tsurumi ◽  
Youn-Kyu Choi ◽  
Song-Min Nam ◽  
Youichi Kubota ◽  
Hirofumi Kakemoto ◽  
...  

Author(s):  
Alexey Lobiak ◽  
Armaіs Oganesyan ◽  
Maxim Kovalyov

An improvement of the methods of computer simulation of beam spans bridge city during the reconstruction scheme of the device for concrete slabs invoice. The calculations provide consistent construction of structures in three stages with non-linear dependency of concrete deformation and creep.


2019 ◽  
Vol 43 (2) ◽  
pp. 168-173 ◽  
Author(s):  
A.V. Pavelev ◽  
V.V. Semin

In this paper, we investigate non-markovian dynamics of a system of two interacting qubits. With the help of stochastic calculus we derive the non-Markovian non-linear stochastic Schrödinger equation. This equation is solved by the direct computer simulation. The simulation is used to obtain some dynamic properties of the system.


Robotica ◽  
2009 ◽  
Vol 28 (4) ◽  
pp. 517-524 ◽  
Author(s):  
Pubudu N. Pathirana ◽  
Adrian N. Bishop ◽  
Andrey V. Savkin ◽  
Samitha W. Ekanayake ◽  
Timothy J. Black

SUMMARYVision-based tracking of an object using perspective projection inherently results in non-linear measurement equations in the Cartesian coordinates. The underlying object kinematics can be modelled by a linear system. In this paper we introduce a measurement conversion technique that analytically transforms the non-linear measurement equations obtained from a stereo-vision system into a system of linear measurement equations. We then design a robust linear filter around the converted measurement system. The state estimation error of the proposed filter is bounded and we provide a rigorous theoretical analysis of this result. The performance of the robust filter developed in this paper is demonstrated via computer simulation and via practical experimentation using a robotic manipulator as a target. The proposed filter is shown to outperform the extended Kalman filter (EKF).


Sign in / Sign up

Export Citation Format

Share Document