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F. Breitenecker, H. Ecker, B. Heinzl, A. Körner, M. Rößler, N. Popper:
"Change of independent variable for state event detection in system simulation - evaluation with argesim benchmarks";
in: "The 24th European Modeling and Simulation Symposium", F. Breitenecker, A. Bruzzone, E. Jimenez, F. Longo, Y. Merkuryev, B. Sokolov (ed.); DIME Università di Genova, Rende, 2012, ISBN: 978-88-97999-09-6, 531 - 536.

In system simulation state event descriptions and state
event handling are used to model and to simulation
`discontinuous´ changes of the system under investiga-
tion. State events may cause simple `jumps´ of parame-
ters, or complex changes of models, as in case of loss or
increase of degrees of freedom. The classical method of
state event handling consists of an interpolative and /or
iterative method to locate the event with ongoing time -
based on the zero of the state event function. This con-
tribution discusses first event classification and time-
based event location algorithms, and second, it discuss-
es an alternative method for state event location by
change of the independent variable. This method, first
suggested by Henon in 1982, makes use of the princi-
ples of Poincare mappings. This alternative method is
analyzed and sketched with models from the ARGESIM
Benchmarks on Modelling Approaches and Simulation
Techniques.