The rise of deep learning has caused a paradigm shift in robotics research, favoring
methods that require large amounts of data. Unfortunately, it is prohibitively expensive to …

This survey article addresses the class of continuous-time systems where a system modeled
by ordinary differential equations is coupled with a static or time-varying set-valued operator …

A comprehensive introduction to hybrid control systems and design Hybrid control systems
exhibit both discrete changes, or jumps, and continuous changes, or flow. An example of a …

“I don't want to achieve immortality through my work... I want to achieve it through not dying.”—
Woody Allen The emergence of (relatively) cheap sensing and actuation nodes, capable of …

Drone detection is the problem of finding the smallest rectangle that encloses the drone (s)
in a video sequence. In this study, we propose a solution using an end-to-end object …

In this chapter we present a state space interpretation of the small gain and passivity
approach of the previous chapter. Moreover, we will come to some kind of synthesis …

There are many communication imperfections in networked control systems (NCS) such as
varying transmission delays, varying sampling/transmission intervals, packet loss …

This paper investigates the problems of two-dimensional (2-D) dissipative control and
filtering for a linear discrete-time Roesser model. First, a novel sufficient condition is …

In recent years, linear matrix inequalities (LMI's) have emerged as a powerful tool to
approach control problems that appear hard if not impossible to solve in an analytic fashion …

This paper investigates the problem of sampled-data-based dissipative control of Takagi–
Sugeno (TS) fuzzy systems. The sampling period is assumed to be varying within an …