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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tomlin, C.J. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Aeronaut. & Astronaut., Stanford Univ., CA, USA (Tomlin, C.J.) |
| Abstract | In this paper the methods that have been designed to analyze, verify, and control hybrid systems are presented. The methods use tools from game theory, wavefront propagation, and symbolic predicate abstraction, and rely on an iterative refinement procedure which computes, either exactly or approximately, regions of the system's operating space in which desired behavior is guaranteed. In engineered systems, controllers are designed to keep the system in these regions. In biological systems, knowledge of the actual operating space is used, in conjunction with these methods, to help hypothesize possible models and reverse engineer the system. This paper focused on two large scale examples: the design and implementation of real time collision avoidance schemes for manned and unmanned air vehicles, and the development of models of cellular regulatory networks in developmental biology. |
| Sponsorship | American Automatic Control Council IFAC |
| File Size | 98887 |
| File Format | |
| ISBN | 0780383354 |
| ISSN | 07431619 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-06-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Air traffic control Control systems Biological system modeling Control system analysis Game theory Iterative methods Biology computing Design engineering Systems engineering and theory Biological systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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