Quantitative Evaluation of Systems

The behavior of many technical systems important in everyday life can be described using discrete states and state-changing events. Stochastic discrete-event systems (SDES) capture the randomness in choices and over time due to activity delays and the probabilities of decisions. The starting point for the evaluation of quantitative issues like performance and dependability is a formal description of the system of interest in a model.

Authors: Knodel, Jens, Naab, Matthias
Presents the lessons learned from more than 75 architecture evaluation projects with industrial customers
Provides comprehensive answers to more than 100 typical questions and discusses more than 60 frequent mistakes and lessons learned
Written in a style accessible to both professionals and researchers and offers a balance of quantitative measurement and qualitative expertise

In this textbook, fundamental methods for model-based design of mechatronic systems are presented in a systematic, comprehensive form. The method framework presented here comprises domain-neutral methods for modeling and performance analysis: multi-domain modeling (energy/port/signal-based), simulation (ODE/DAE/hybrid systems), robust control methods, stochastic dynamic analysis, and quantitative evaluation of designs using system budgets.