| Author: | ISBN: | 9780128135440 | |
| Publisher: | Elsevier Science | Publication: | February 27, 2019 |
| Imprint: | Academic Press | Language: | English |
| Author: | |
| ISBN: | 9780128135440 |
| Publisher: | Elsevier Science |
| Publication: | February 27, 2019 |
| Imprint: | Academic Press |
| Language: | English |
Model Engineering for Simulation provides a systematic introduction to the implementation of generic, normalized and quantifiable modeling and simulation using DEVS formalism. It describes key technologies relating to model lifecycle management, including model description languages, complexity analysis, model management, service-oriented model composition, quantitative measurement of model credibility, and model validation and verification. The book clearly demonstrates how to construct computationally efficient, object-oriented simulations of DEVS models on parallel and distributed environments.
- Guides systems and control engineers in the practical creation and delivery of simulation models using DEVS formalism
- Provides practical methods to improve credibility of models and manage the model lifecycle
- Helps readers gain an overall understanding of model lifecycle management and analysis
- Supported by an online ancillary package that includes an instructors and student solutions manual
Model Engineering for Simulation provides a systematic introduction to the implementation of generic, normalized and quantifiable modeling and simulation using DEVS formalism. It describes key technologies relating to model lifecycle management, including model description languages, complexity analysis, model management, service-oriented model composition, quantitative measurement of model credibility, and model validation and verification. The book clearly demonstrates how to construct computationally efficient, object-oriented simulations of DEVS models on parallel and distributed environments.
- Guides systems and control engineers in the practical creation and delivery of simulation models using DEVS formalism
- Provides practical methods to improve credibility of models and manage the model lifecycle
- Helps readers gain an overall understanding of model lifecycle management and analysis
- Supported by an online ancillary package that includes an instructors and student solutions manual
