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AbstractWe define a general concept of a network of analog modules connected by channels, processing data from a metric space A, and operating with respect to a global continuous clock T. The inputs and outputs of the network are continuous streams u:T→A, and the input–output behaviour of the network with system parameters from A is modelled by a function Φ:Ar×C[T,A]p→C[T,A]q(p,q>0,r≥0), where C[T,A] is the set of all continuous streams equipped with the compact-open topology. We give an equational specification of the network, and a semantics which involves solving a fixed point equation over C[T,A] using a contraction principle based on the fact that C[T,A] can be approximated locally by metric spaces. We show that if the module functions are continuous then so is the network function Φ. We analyse in detail two case studies involving mechanical systems. Finally, we introduce a custom-made concrete computation theory over C[T,A] and show that if the module functions are concretely computable then so is Φ.
Continuous time, Analog computation, Continuous streams, Analog computing, Analog networks, Theoretical Computer Science, Computer Science(all)
Continuous time, Analog computation, Continuous streams, Analog computing, Analog networks, Theoretical Computer Science, Computer Science(all)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 21 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |