Davide Bresolin , Pieter Collins , Luca Geretti , Roberto Segala , Tiziano Villa , Sanja Živanović Gonzalez
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A computable and compositional semantics for hybrid systems
Hybrid Systems are systems having a mixed discrete and continuous behaviour that cannot be characterised faithfully using either discrete or continuous models only.
Due to the intrinsic complexity of hybrid systems, it is highly desirable to describe them compositionally, where large systems are seen as the composition of several simpler subparts that are studied independently. Furthermore, since several problems, including reachability, are undecidable for hybrid systems, the availability of approximate decision procedures is another important feature.
In this paper, we propose a purely behavioural formalism for hybrid systems that is compositional and supports approximate decision procedures. The formalism is abstract and sufficiently general to subsume or be a semantic framework for most of the concrete formalisms or languages proposed in the literature.
期刊介绍:
Information and Computation welcomes original papers in all areas of theoretical computer science and computational applications of information theory. Survey articles of exceptional quality will also be considered. Particularly welcome are papers contributing new results in active theoretical areas such as
-Biological computation and computational biology-
Computational complexity-
Computer theorem-proving-
Concurrency and distributed process theory-
Cryptographic theory-
Data base theory-
Decision problems in logic-
Design and analysis of algorithms-
Discrete optimization and mathematical programming-
Inductive inference and learning theory-
Logic & constraint programming-
Program verification & model checking-
Probabilistic & Quantum computation-
Semantics of programming languages-
Symbolic computation, lambda calculus, and rewriting systems-
Types and typechecking