Title :
Towards analyzing and controlling multi-compartment systems
Author :
Frontzek, Thomas ; Eckmiller, Rolf
Author_Institution :
Dept. of Comput. Sci. VI, Bonn Univ., Germany
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;
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7044-9
DOI :
10.1109/IJCNN.2001.939464
