Includes bibliographical references and index.

Online resource; title from PDF title page (EBSCO, viewed February 13, 2019).

An essential introduction to the analysis and verification of control systems softwareThe verification of control systems 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-Lo�ic 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 especially 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 these systems continues to increase--such as in autonomous cars, drones, and satellites and landers--the numerical functions in critical 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.

Frontmatter -- Contents -- I. Need and Tools to Verify Critical Cyber-Physical Systems -- 1. Critical Embedded Software: Control Software Development and V & V -- 2. Formal Methods: Different Approaches for Verification -- 3. Control Systems -- II. Invariant Synthesis: Convex-optimization Based Abstract Interpretation -- 4. Definitions-Background -- 5. Invariants Synthesis via Convex Optimization: Postfixpoint Computation as Semialgebraic Constraints -- 6. Template-based Analyses and Min-policy Iteration -- III. System-level Analysis at Model and Code Level -- 7. System-level Properties as Numerical Invariants -- 8. Validation of System-level Properties at Code Level -- IV. Numerical Issues -- 9. Floating-point Semantics of Analyzed Programs -- 10. Convex Optimization and Numerical Issues -- Bibliography -- Index -- Acknowledgments

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