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HYBRID
2003
Springer

On the Causality of Mixed-Signal and Hybrid Models

14 years 4 months ago
On the Causality of Mixed-Signal and Hybrid Models
This paper extends the application of the Cantor metric as a mathematical tool for defining causalities from pure discrete models to mixed-signal and hybrid models. Using the Cantor metric, which maps timed signals, continuous or discrete, into a metric space, we define causality as contractive properties of processes operating on these signals. Thus, the Banach fixed point theorem can be applies to establish conditions for the existence, uniqueness, and liveness of the behaviors for mixed-signal and hybrid systems. The results also provide theoretical foundations for the simulation technologies for such systems, including the time-marching strategy, evaluation of feedback loops, and the necessity of supporting rollback.
Jie Liu, Edward A. Lee
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where HYBRID
Authors Jie Liu, Edward A. Lee
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