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Content Provider | ACM Digital Library |
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Author | Kapinski, James Balkan, Ayca Tabuada, Paulo Jin, Xiaoqing Deshmukh, Jyotirmoy V. |
Abstract | Evaluation of industrial embedded control system designs is a time-consuming and imperfect process. While an ideal process would apply a formal verification technique such as model checking or theorem proving, these techniques do not scale to industrial design problems, and it is often difficult to use these techniques to verify performance aspects of control system designs, such as stability or convergence. For industrial designs, engineers rely on testing processes to identify critical or unexpected behaviors. We propose a novel framework called Underminer to improve the testing process; this is an automated technique to identify non-converging behaviors in embedded control system designs. Underminer treats the system as a black box, and lets the designer indicate the model parameters, inputs and outputs that are of interest. It supports a multiplicity of convergence-like notions, such as those based on Lyapunov analysis and those based on temporal logic formulae. Underminer can be applied in the context of testing models created in the controller-design phase, and can also be applied in a scenario such as hardware-in-the-loop testing. We demonstrate the efficacy of Underminer by evaluating its performance on several examples. |
Starting Page | 1 |
Ending Page | 10 |
Page Count | 10 |
File Format | |
ISBN | 9781450344852 |
DOI | 10.1145/2968478.2968487 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2016-10-01 |
Publisher Place | New York |
Access Restriction | Subscribed |
Content Type | Text |
Resource Type | Article |
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