Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Péni, Tamás"'
This paper investigates payload grasping from a moving platform using a hook-equipped aerial manipulator. First, a computationally efficient trajectory optimization based on complementarity constraints is proposed to determine the optimal grasping ti
Externí odkaz:
http://arxiv.org/abs/2409.11788
For complex nonlinear systems, it is challenging to design algorithms that are fast, scalable, and give an accurate approximation of the stability region. This paper proposes a sampling-based approach to address these challenges. By extending the par
Externí odkaz:
http://arxiv.org/abs/2405.13750
This paper presents a multi-step procedure to construct the dynamic motion model of an autonomous quadcopter, identify the model parameters, and design a model-based nonlinear trajectory tracking controller. The aim of the proposed method is to speed
Externí odkaz:
http://arxiv.org/abs/2306.09651
Payload grasping and transportation with quadcopters is an active research area that has rapidly developed over the last decade. To grasp a payload without human interaction, most state-of-the-art approaches apply robotic arms that are attached to th
Externí odkaz:
http://arxiv.org/abs/2304.02444
The paper proposes two control methods for performing a backflip maneuver with miniature quadcopters. First, an existing feedforward control approach is improved by finding the optimal sequence of motion primitives via Bayesian optimization, using a
Externí odkaz:
http://arxiv.org/abs/2209.14652
Publikováno v:
In Systems & Control Letters August 2020 142
Publikováno v:
In IFAC PapersOnLine 2020 53(2):15003-15010
Autor:
Peni, Tamas, Seiler, Peter J.
Determining the induced L2 norm of a linear, parameter-varying (LPV) system is an integral part of many analysis and robust control design procedures. Most prior work has focused on efficiently computing upper bounds for the induced L2 norm. The cond
Externí odkaz:
http://arxiv.org/abs/1408.6809
Publikováno v:
In European Journal of Control September 2019 49:68-83