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• W1824641429 abstract ", PIERDOMENICO PEPE AND MARIA D. DI BENEDETTOAbstract. Symbolic models have recently spurred the interest of the research community because they o era correct{by{design approach to the control of embedded and cyber{physical systems. In this paper weaddress construction of symbolic models for networks of discrete{time nonlinear control systems. The mainresult of the paper shows that under some small gain theorem{type conditions, a network of symbolic modelscan be constructed which approximates a network of incrementally stable control systems in the sense ofapproximate bisimulation with any desired accuracy. Compositional design of quantization parameters of thesymbolic models is also derived and based on the topological properties of the network." @default.
• W1824641429 created "2016-06-24" @default.
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• W1824641429 date "2014-03-31" @default.
• W1824641429 modified "2023-09-27" @default.
• W1824641429 title "Compositional Symbolic Models for Networks of Incrementally Stable Control Systems" @default.
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• W1824641429 hasPublicationYear "2014" @default.
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