Stability is a fundamental requirement of dynamical systems. Most of the works concentrate on verifying stability for a given stability region. In this paper we tackle the problem of synthesizing -stable abstractions. Intuitively, the-stable abstraction of an open dynamical system characterizes the transitions between stability regions in response to external inputs. The stability regions are not given - rather, they are synthesized as the tightest representation with respect to a given set of relevant predicates. A stable abstraction is enriched by timing information derived from the duration of stabilization. We implement a synthesis algorithm in the framework of Abstract Interpretation, that allows different degrees of approximation. We show the representational power of stable abstractions, that provide a high-level account of the behavior of the system with respect to stability, and we experimentally evaluate the effectiveness of a compositional approach, that allows synthesizing stable abstractions for significant systems.
Synthesis of P-Stable Abstractions / Becchi, A.; Cimatti, A.; Zaffanella, E.. - 12310:(2020), pp. 214-230. (Intervento presentato al convegno 18th International Conference on Software Engineering and Formal Methods, SEFM 2020 tenutosi a Amsterdam, Nederlands nel 2020) [10.1007/978-3-030-58768-0_12].
Synthesis of P-Stable Abstractions
Zaffanella E.
2020-01-01
Abstract
Stability is a fundamental requirement of dynamical systems. Most of the works concentrate on verifying stability for a given stability region. In this paper we tackle the problem of synthesizing -stable abstractions. Intuitively, the-stable abstraction of an open dynamical system characterizes the transitions between stability regions in response to external inputs. The stability regions are not given - rather, they are synthesized as the tightest representation with respect to a given set of relevant predicates. A stable abstraction is enriched by timing information derived from the duration of stabilization. We implement a synthesis algorithm in the framework of Abstract Interpretation, that allows different degrees of approximation. We show the representational power of stable abstractions, that provide a high-level account of the behavior of the system with respect to stability, and we experimentally evaluate the effectiveness of a compositional approach, that allows synthesizing stable abstractions for significant systems.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.