Formal Verification of Control System Software |
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| Author:
| Garoche, Pierre-Loïc |
| Series title: | Princeton Series in Applied Mathematics |
| ISBN: | 978-0-691-18130-1 |
| Publication Date: | Apr 2019 |
| Publisher: | Princeton University Press
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| Book Format: | Hardback |
| List Price: | AUD $125.00 |
Book Description:
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An essential introduction to the analysis and verification of control system software The verification of control system software is critical to a host of technologies and industries, from aeronautics and medical technology to the cars we drive. The failure of controller software can cost people their lives. In this authoritative and accessible book, Pierre-Loïc Garoche provides control engineers and computer scientists with an indispensable introduction to the...
More Description
An essential introduction to the analysis and verification of control system software
The verification of control system software is critical to a host of technologies and industries, from aeronautics and medical technology to the cars we drive. The failure of controller software can cost people their lives. In this authoritative and accessible book, Pierre-Loïc Garoche provides control engineers and computer scientists with an indispensable introduction to the formal techniques for analyzing and verifying this important class of software.
Too often, control engineers are unaware of the issues surrounding the verification of software, while computer scientists tend to be unfamiliar with the specificities of controller software. Garoche provides a unified approach that is geared to graduate students in both fields, covering formal verification methods as well as the design and verification of controllers. He presents a wealth of new verification techniques for performing exhaustive analysis of controller software. These include new means to compute nonlinear invariants, the use of convex optimization tools, and methods for dealing with numerical imprecisions such as floating point computations occurring in the analyzed software.
As the autonomy of critical systems continues to increase--as evidenced by autonomous cars, drones, and satellites and landers--the numerical functions in these systems are growing ever more advanced. The techniques presented here are essential to support the formal analysis of the controller software being used in these new and emerging technologies.