This paper studies the optimal output-feedback control of a linear time-invariant system
where a stochastic event-based scheduler triggers the communication between the sensor …

Control based on vision data is a growing field of research and it is widespread in industry.
The amount of data in each image and the processing needed to obtain control-relevant …

This work presents a novel control strategy for systems with actuation delays with known
stochastic distribution, which improves upon previously proposed deadline-driven and event …

In many control contexts, such as vision-based control, data-processing methods are
needed to distill information from measurement data (such as images). These data …

This paper considers a linear stochastic control system whose feedback loop is closed over
(possibly low-power wireless) communication channels. A probabilistic event-based …

This thesis deals with the development of new modeling and control techniques for the next
generation of complex (industrial) systems, with a special focus on those that require dealing …

Until recent years, industrial control systems relied on wires to transfer the process values
and control signals through an industrial plant. The use of wireless is limited to monitoring …

Abstract A Wireless Sensor and Actuator Network (WSAN) is a network of sensors and
actuators connected through wireless medium in which sensors transmit the sensed …

We propose novel iterative learning control algorithms to track a reference trajectory in
resource-constrained control systems. In many applications, there are constraints on the …

This thesis describes an approach to increase the efficiency of an Airborne Wind Energy
(AWE) system with soft wing flying in crosswind motion. In AWE systems, power generation …