TY - JOUR
T1 - Program system SIDYS
T2 - Simulation and parameter identification of dynamic systems
AU - Benz, J.
AU - Polster, J.
AU - Bär, R.
AU - Gauglitz, G.
N1 - Funding Information:
Acknowledgemenis-The support by the Deutsche For-schungsgemeinschaft and the Fond der chemischen Indus- trie is gratefully acknowledeed. We thank Professor Dr G. Spatz of the Institute of Gknland and Futterbau der TU Miinchen for discussionsa nd the Arbeitsgemeinsehafitn - dustrieller Forschung (R. Bar) for personal and financial support.
PY - 1987
Y1 - 1987
N2 - We describe a program SIDYS for simulation and parameter identification of complex dynamic systems. SIDYS is characterized by a combination of modeling, data handling, simulation and identification. Either continuous or time discrete processes can be simulated by SIDYS; a choice is offered among Euler, Runge-Kutta-Merson and Gear for the integration of systems of differential equations. Least squares or weighted least squares can be used for parameter evaluation. The nonlinear minimization can be carried out by random search, Rosenbrock, quasi-Newton, or lattice search. An optimal analysis of the residuals allows the quality of the parameter identification to be judged, thereby revealing specification errors in the model programming. The basic flow diagram of SIDYS is described. The use of SIDYS is illustrated by a spectroscopic-kinetic analysis of a reversible photoreaction of dihydroindolizines accompanied by thermal reaction. The evaluation shows that a differential absorbance equation can be used with a noisy experimental data set only if the rate constant of the thermal reaction is taken as known. An analysis of the residuals is provided and the significance of the parameters is discussed.
AB - We describe a program SIDYS for simulation and parameter identification of complex dynamic systems. SIDYS is characterized by a combination of modeling, data handling, simulation and identification. Either continuous or time discrete processes can be simulated by SIDYS; a choice is offered among Euler, Runge-Kutta-Merson and Gear for the integration of systems of differential equations. Least squares or weighted least squares can be used for parameter evaluation. The nonlinear minimization can be carried out by random search, Rosenbrock, quasi-Newton, or lattice search. An optimal analysis of the residuals allows the quality of the parameter identification to be judged, thereby revealing specification errors in the model programming. The basic flow diagram of SIDYS is described. The use of SIDYS is illustrated by a spectroscopic-kinetic analysis of a reversible photoreaction of dihydroindolizines accompanied by thermal reaction. The evaluation shows that a differential absorbance equation can be used with a noisy experimental data set only if the rate constant of the thermal reaction is taken as known. An analysis of the residuals is provided and the significance of the parameters is discussed.
UR - http://www.scopus.com/inward/record.url?scp=0023129361&partnerID=8YFLogxK
U2 - 10.1016/0097-8485(87)80007-4
DO - 10.1016/0097-8485(87)80007-4
M3 - Article
AN - SCOPUS:0023129361
SN - 0097-8485
VL - 11
SP - 41
EP - 48
JO - Computers and Chemistry
JF - Computers and Chemistry
IS - 1
ER -