eBook: Formal Verification of Control System Software (DRM PDF)
 
電子書格式: DRM PDF
作者: Pierre-Loic Garoche 
系列: Princeton Series in Applied Mathematics
分類: Differential calculus & equations ,
Numerical analysis ,
Optimization ,
Linear programming ,
Applied mathematics ,
Collaboration & group software ,
Computer science  
書城編號: 20480854

原價: HK$650.00
現售: HK$617.5 節省: HK$32.5

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製造商: Princeton University Press
出版日期: 2019/05/14
頁數: 232
ISBN: 9780691189581
 
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商品簡介
An essential introduction to the analysis and verification of control system softwareThe 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-Loic 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.
Princeton Series in Applied Mathematics

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