Modern software applications are subject to uncertain operating conditions, such as
dynamics in the availability of services and variations of system goals. Consequently …

Real-time computing plays a crucial role in our society since an increasing number of
complex systems rely, in part or completely, on computer control. Examples of applications …

Cyber-Physical Systems: Foundations, Principles and Applications explores the core system
science perspective needed to design and build complex cyber-physical systems. Using …

This paper examines a class of real-time control systems in which each control task triggers
its next release based on the value of the last sampled state. Prior work used simulations to …

In this 25th year anniversary paper for the IEEE Real Time Systems Symposium, we review
the key results in real-time scheduling theory and the historical events that led to the …

Most of today's embedded systems are required to work in dynamic environments, where the
characteristics of the computational load cannot always be predicted in advance. Still timely …

Since the first results published in 1973 by Liu and Layland on the Rate Monotonic (RM) and
Earliest Deadline First (EDF) algorithms, a lot of progress has been made in the …

In this paper we present a control-based model for control tasks that allows each control task
to trigger itself optimizing computing resources and control performance. Using this model …

Based on the supervisory control theory (SCT) of timed discrete-event systems (TDES), this
study presents a dynamic reconfiguration technique for real-time scheduling of real-time …

Autonomous vehicles (AVs) must drive across a variety of challenging environments that
impose continuously-varying deadlines and runtime-accuracy tradeoffs on their software …