NDLI: A framework for verification and validation of integrated and adaptive control systems

Content Provider	IEEE Xplore Digital Library
Author	James, J. Barton, D.
Copyright Year	2000
Description	Author affiliation: J.R. James Associates Inc., Fairfax Station, VA, USA (James, J.)
Abstract	This paper summarizes a project that seeks to extend previous work in formal methods, functional languages, adaptive control and hybrid control to establish a methodology and a framework for validation and verification of adaptive/intelligent software systems. We are working to apply recent results in creating logical abstractions in Haskell to build a capability for automatic verification of new or modified components which meet the constraints imposed on the resulting system. As components become ready for use, we intend to apply the specification for the Open Control Platform, currently under development as part of the US Defense Advanced Research Projects Agency (DARPA) Software-Enabled Control project, as the definition of our distributed control platform. Our approach emphasizes the use of off-line verification and validation techniques to establish ranges of parameter variations to be allowed by the adaptive/intelligent control software and online techniques to ensure that approved constraints are being met. We are in the process of developing an engineering plan to demonstrate use of the binary decision diagram (BDD) and Stanford Validity Checker (SVC) extensions to Haskell to automatically validate an adaptive, online control law redesign and implementation to meet performance specifications. This implementation will be designed to demonstrate an initial capability that can be extended to other adaptive and intelligent control systems safety critical tasks.
Starting Page	243
Ending Page	248
File Size	547825
Page Count	6
File Format	PDF
ISBN	0780365666
DOI	10.1109/CACSD.2000.900218
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-09-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive control Automatic control Programmable control Intelligent control Control systems Hybrid intelligent systems Software systems Distributed control Data structures Boolean functions
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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