Impact of Runtime Architectures on Control System Stability
Abstract
Control systems are sensitive to the end-to-end latency and age of signal data. Control engineers develop their control system model under certain latency and age assumptions and deviation from these assumptions can lead to controller instability. In this paper we discuss how choices in the runtime architecture of the embedded software system can affect latency and introduce unexpected latency jitter. We propose the use of AADL as a basis for a flexible framework that support co-design of control systems by control engineers and by embedded software engineers through quantitative analysis.
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