Towards analyzing and controlling multi-compartment systems

Author

Frontzek, Thomas ; Eckmiller, Rolf

Author_Institution

Dept. of Comput. Sci. VI, Bonn Univ., Germany

Volume

2

fYear

2001

fDate

2001

Firstpage

814

Abstract

We propose a multi-compartment system framework for analyzing and controlling complex nonlinear dynamical systems. Firstly, we define the terms compartment, multicompartment system (MCS), and multi-compartment model (MCM). Based on these definitions we develop a software tool MCM-Sim to obtain a “construction kit” for this kind of systems. By means of the two-compartment system Freeman-oscillator and the six-compartment system pyloric network of crayfish we demonstrate the effectiveness of our MCS approach. We also show preliminary results of a controlling frame for multi-compartment systems

Keywords

directed graphs; discrete systems; large-scale systems; neurocontrollers; nonlinear dynamical systems; software packages; MCM-Sim software tool; complex nonlinear dynamical systems; crayfish; multi-compartment model; multi-compartment systems; six-compartment system pyloric network; two-compartment system Freeman-oscillator; Application software; Cities and towns; Computer science; Control system analysis; Control systems; Differential equations; Econometrics; Nonlinear dynamical systems; Planets; Software tools;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on

Conference_Location

Washington, DC

ISSN

1098-7576

Print_ISBN

0-7803-7044-9

Type

conf

DOI

10.1109/IJCNN.2001.939464

Filename

939464