**1. Introduction**

18 MATLAB – A Fundamental Tool for Scientific Computing and Engineering Applications – Volume 1

*Decision and Control Cancun*, Mexico, Dec. 9-11, 2008.

The author would like to thanks Instituto Federal de Educação, Ciência e Tecnologia de São Paulo for the MATLAB license and hardware resources used at the development of this

Alfaro, V. M., Vilanova, R. Arrieta O. Two-Degree-of-Freedom PI/PID Tuning Approach for smooth Control on Cascade Control Systems, *Proceedings of the 47th IEEE Conference on* 

Ang, K.H., Chong G. LI, Yun PID Control System Analysis, Design, and Technology, In:

Ǻström, K.J. , Hägglund, T. (1995) *PID controllers Setting the standard for automation* 2nd

Ǻström, K. J. , Hägglund, T. (1995) *PID Controllers: Theory, Design, and Tuning*, 2nd Edition

Cao, Yao. (January 2008). Learning PID Tuning III: Performance Index Optimization, In:

http://www.mathworks.com/matlabcentral/fileexchange/18674-learning-pid-tuning-iii-

Mannini, P. ; Mello, V.F.; Santos, D.S.; Araújo, G.C.; Campo, A.B (2012) Projeto de controle

Mansour,T. (2011) *PID Control, Implementation and Tuning*, 238 p., InTech, ISBN 978-953-307-

Ogata, K. (2009) *Modern Control Engineering*, 912p., 5nd. Edition, Prentice Hall ISBN-13: 978-

Seborg, D.E.; Edgar, T.F., Mellichamp, D.A. *Process Dynamics and Control*, John Wiley & Sons,

Santos, J.C. dos S.; Santos, R.P. dos; Salles, J.L.F. *Redução da Variabilidade do Teor Alcoólico na* 

Yurkevich, V. D. (2011) *Advances in PID Control*, InTech, ISBN 978-953-307-267-8, Rijeka,

*IEEE Transactions on Control Systems Technology*, vol. 13, no. 4, july, 2005.

PID em uma coluna de destilação de álcool, *Revista Sinergia* (submitted).

Edition, 343 p., International Society for Measurement and Control.

*MATLAB CENTRAL File Exchange*, 08.04.2012, Available from

**Acknowledgement** 

ISBN 978-1-55617-516-9.

166-4, Rijeka, Croatia.

Singapore, 717p., 1989.

*Indústria Sucroalcooleira*, ISA Show, Brazil, 2010.

0136156734,

Croatia.

performance-index-optimization

work.

**6. References** 

In this chapter we shall focus on the needs that many researchers, scientists and even students have very often. When using commercial simulation software for numerical simulation of electromagnetic field we frequently encounter many insufficiencies which those software products have. Usually, main aim of computational software developers is to optimize and refine so called core of these programmes – EM field solver. After that CAD (Computer Assisted Design) and post processing parts of EM simulators are dealt with. Mainly this can be an issue with newer, short-time in development products but one's own post processing using Matlab can be greatly beneficial even when using well established simulators of EM field. This is largely due to its flexibility which cannot be overcome by any EM field simulator.

Throughout this chapter we will show you many ways of post processing which we use in our research of EM field in industrial and medical applications (Vrba et al., 2008; Vydra et al., 2011) and in primary research of EM field around living cells and structures inside cell bodies (Cifra et al., 2011; Havelka et al., 2011).

We hope that this chapter will aid many researchers and students in the vast field of EM research. Here, we present our knowledge and tips which we have gathered through our studies and our research.
