This survey covers probabilistic timing analysis techniques for real-time systems. It reviews
and critiques the key results in the field from its origins in 2000 to the latest research …

The real-time implementation of periodic controllers requires solving a co-design problem, in
which the choice of the controller sampling period is a crucial element. Classic design …

Determining a soft or firm real-time task's probabilistic worst-case response time is a central
goal when quantifying and bounding the probability of deadline misses, but current …

With the emergence of complex autonomous systems, multiple control tasks are increasingly
being implemented on shared computational platforms. Due to the resource-constrained …

In soft real-time systems, tasks may occasionally miss their deadlines. This possibility has
triggered research on probabilistic timing analysis for the execution time of a single program …

Weakly-hard models have been used to analyse real-time systems subject to patterns of
deadline hits and misses. However, the tools that are available in the literature have a set of …

This paper addresses two major problems in probabilistic analysis of real-time systems:
space and time complexity of convolution of discrete random variables. For years, these two …

Probabilistic timing guarantees enable a tradeoff between system safety and hardware costs
in embedded real-time systems. A key metric for assessing whether timing requirements can …

Control theory allows one to design controllers that are robust to external disturbances,
model simplification, and modelling inaccuracy. Researchers have investigated whether the …

In many embedded systems, for instance, in the automotive, avionic, or robotics domain,
critical functionalities are implemented via chains of communicating recurrent tasks. To …