Control systems are by design robust to various disturbances, ranging from noise to
unmodelled dynamics. Recent work on the weakly hard model---applied to controllers---has …

In resource-constrained systems, the interference generated by the concurrent execution of
multiple controller tasks leads to extra delay and jitter, which degrade control performance …

This paper presents a real-time machine learning control (MLC) of articulated robotic
manipulators using artificial bee colony optimization (ABC) algorithm incorporated with fuzzy …

We evolve a methodology and define a metric to evaluate Tactile Cyber-Physical Systems
(TCPS). Towards this goal, we use the step response analysis, a well-known control …

We deal with the following problem: how to implement a feedback controller on a CPU, with
variable computation time, on a CPU that is shared with other tasks so that (1) the task …

As cyber-physical systems (CPS) become increasingly autonomous, there is a growing need
for resource-efficient design techniques that can guarantee safety and timeliness during …

This paper introduces and assesses novel strategies to schedule firm semi-periodic real-
time tasks. Jobs are released periodically and have the same relative deadline. Job …

In many application areas, including control systems, careful management of system
resources is key to providing the best application performance. Traditional control systems …

A control task's performance heavily depends on its sampling frequency and sensing‐to‐
actuation delay. More frequent sampling, that is, shorter period, improves the control …

Time-triggered periodic control implementations are over provisioned for many execution
scenarios in which the states of the controlled plants are close to equilibrium. To address …