Springer - Modeling, Design, and Simulation of Systems

Engineers often face the challenge of describing real-world systems when certain parts of a process remain unknown or cannot be characterized with absolute certainty. This book from the Mathematical Engineering series provides a comprehensive guide to overcoming these difficulties through advanced modeling and simulation techniques. This work offers a three-fold contribution to the field. It covers theoretical foundations alongside current research in algorithmic approaches for handling uncertainty. Readers will find practical insights into real-life applications, including robotics and biomedical engineering. Additionally, the text explores fresh approaches to the reliable implementation of software. Whether you are working on complex software design or engineering systems that require high levels of accuracy, this Springer publication provides the necessary framework to manage uncertainty. It is an essential resource for professionals and students looking to bridge the gap between theoretical uncertainty and practical system behavior.