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- W4294583760 abstract "Symbolic models have recently spurred the interest of the research community because they offer a correct-by-design approach to the control of embedded and cyber-physical systems. In this paper we address construction of symbolic models for networks of discrete-time nonlinear control systems. The main result of the paper shows that under some small gain theorem-type conditions, a network of symbolic models can be constructed which approximates a network of incrementally stable control systems in the sense of approximate bisimulation with any desired accuracy. Compositional design of quantization parameters of the symbolic models is also derived and based on the topological properties of the network." @default.
- W4294583760 created "2022-09-05" @default.
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- W4294583760 date "2014-03-31" @default.
- W4294583760 modified "2023-10-18" @default.
- W4294583760 title "Compositional Symbolic Models for Networks of Incrementally Stable Control Systems" @default.
- W4294583760 doi "https://doi.org/10.48550/arxiv.1404.0048" @default.
- W4294583760 hasPublicationYear "2014" @default.
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