Zobrazeno 1 - 10
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pro vyhledávání: '"Beckers, Thomas"'
Modeling the dynamics of flexible objects has become an emerging topic in the community as these objects become more present in many applications, e.g., soft robotics. Due to the properties of flexible materials, the movements of soft objects are oft
Externí odkaz:
http://arxiv.org/abs/2406.11809
Autor:
Beckers, Thomas
Port-Hamiltonian theory is an established way to describe nonlinear physical systems widely used in various fields such as robotics, energy management, and mechanical engineering. This has led to considerable research interest in the control of Port-
Externí odkaz:
http://arxiv.org/abs/2309.04678
Data-driven approaches achieve remarkable results for the modeling of complex dynamics based on collected data. However, these models often neglect basic physical principles which determine the behavior of any real-world system. This omission is unfa
Externí odkaz:
http://arxiv.org/abs/2305.09017
Variational autoencoders allow to learn a lower-dimensional latent space based on high-dimensional input/output data. Using video clips as input data, the encoder may be used to describe the movement of an object in the video without ground truth dat
Externí odkaz:
http://arxiv.org/abs/2305.09006
Switching physical systems are ubiquitous in modern control applications, for instance, locomotion behavior of robots and animals, power converters with switches and diodes. The dynamics and switching conditions are often hard to obtain or even inacc
Externí odkaz:
http://arxiv.org/abs/2305.09689
Flocking control of multi-agents system is challenging for agents with partially unknown dynamics. This paper proposes an online learning-based controller to stabilize flocking motion of double-integrator agents with additional unknown nonlinear dyna
Externí odkaz:
http://arxiv.org/abs/2112.07779
Groups of unmanned aerial vehicles (UAVs) are increasingly utilized in transportation task as the combined strength allows to increase the maximum payload. However, the resulting mechanical coupling of the UAVs impose new challenges in terms of the t
Externí odkaz:
http://arxiv.org/abs/2111.00777
Formation control algorithms for multi-agent systems have gained much attention in the recent years due to the increasing amount of mobile and aerial robotic swarms. The design of safe controllers for these vehicles is a substantial aspect for an inc
Externí odkaz:
http://arxiv.org/abs/2104.00130
Autor:
Beckers, Thomas
Within the past two decades, Gaussian process regression has been increasingly used for modeling dynamical systems due to some beneficial properties such as the bias variance trade-off and the strong connection to Bayesian mathematics. As data-driven
Externí odkaz:
http://arxiv.org/abs/2102.05497
Despite the existence of formal guarantees for learning-based control approaches, the relationship between data and control performance is still poorly understood. In this paper, we propose a Lyapunov-based measure for quantifying the impact of data
Externí odkaz:
http://arxiv.org/abs/2011.10596