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- W2807240570 abstract "Networked and embedded control systems are ubiquitous nowadays in practical applications. The detailed models for such systems can be very complex due to the interactions of different subsystems in the network, the inherent complexity of the models of the subsystems, and due to the sampling phenomenon itself. In turn, simulations for control synthesis or performance specifications can easily become intractable. Hence, computing low-order accurate models for such systems can be of great importance. In this chapter, we precisely address this problem by studying two main topics for aperiodic sampled-data systems which are used as modeling abstractions for networked control systems: First, we formulate minimal order models capturing the whole behavior of the system with taking into account all possible sampling patterns. Second, we investigate a model reduction method to further simplify the models without losing much of the accuracy." @default.
- W2807240570 created "2018-06-13" @default.
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- W2807240570 date "2018-01-01" @default.
- W2807240570 modified "2023-09-25" @default.
- W2807240570 title "Minimal- and Reduced-Order Models for Aperiodic Sampled-Data Systems" @default.
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- W2807240570 doi "https://doi.org/10.1007/978-3-319-78449-6_1" @default.
- W2807240570 hasPublicationYear "2018" @default.
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