Formal Verification of Control System Software

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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.

Author(s): Pierre-Loı¨c Garoche
Series: PRINCETON SERIES IN APPLIED MATHEMATICS
Publisher: Princeton University Press
Year: 2019

Language: English
Pages: 226

Cover......Page 1
Formal Verification of Control
System Software
......Page 5
Copyright......Page 6
Contents
......Page 9
Part I: Need and Tools to Verify Critical
Cyber-Physical Systems......Page 11
1 Critical Embedded Software
......Page 13
2 Formal Methods......Page 17
3 Control Systems......Page 41
4 Definitions—Background......Page 51
5 Invariant Synthesis via Convex Op......Page 72
6 Template-based Analyses and Min-policy Iteration......Page 119
7 System-level Properties as Numerical Invariants......Page 135
8 Validation of System-level Properties at Code Level......Page 153
9 Floating-point Semantics of Analyzed Programs......Page 171
10 Convex Optimization and Numerical Issues......Page 195
Bibliography......Page 205
Index......Page 221
Acknowledgments......Page 224