Zobrazeno 1 - 10
of 225
pro vyhledávání: '"Bo Wahlberg"'
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 14:258-268
Publikováno v:
Journal of Systems Science and Complexity. 34:1801-1820
A hidden Markov model (HMM) comprises a state with Markovian dynamics that can only be observed via noisy sensors. This paper considers three problems connected to HMMs, namely, inverse filtering, belief estimation from actions, and privacy enforceme
Publikováno v:
Journal of Systems Science and Complexity. 34:1840-1857
In this paper, the inverse linear quadratic (LQ) problem over finite time-horizon is studied. Given the output observations of a dynamic process, the goal is to recover the corresponding LQ cost function. Firstly, by considering the inverse problem a
Publikováno v:
IEEE Vehicular Technology Magazine. 16:29-37
In this article, we present a motion-planning framework that leverages expert bus driver behavior, increasing the safety and maneuverability of autonomous buses. Autonomous vehicles will increase the safety, quality, and efficiency of transportation
Publikováno v:
IFAC-PapersOnLine. 54:19-24
We consider a cooperative system identification scenario in which an expert agent (teacher) knows a correct, or at least a good, model of the system and aims to assist a learner-agent (student), but cannot directly transfer its knowledge to the stude
Publikováno v:
IFAC-PapersOnLine. 54:113-118
This paper investigates the rendezvous problem for the autonomous cooperative landing of an unmanned aerial vehicle (UAV) on an unmanned surface vehicle (USV). Such heterogeneous agents, with nonlinear dynamics, are dynamically decoupled but share a
Publikováno v:
IEEE Signal Processing Magazine. 37:195-199
In this lecture note, we derive and compare the asymptotic covariance matrices of two parametric estimators: the Gaussian maximum-likelihood estimator (MLE) and the optimally weighted leastsquares estimator (LSE). We assume a general model parameteri
Publikováno v:
IFAC-PapersOnLine. 53:15572-15579
Maneuvering an articulated vehicle on narrow road stretches is often a challenging task for a human driver. Unless the vehicle is accurately steered, parts of the vehicle's bodies may exceed its assigned drive lane, resulting in an increased risk of
Publikováno v:
IFAC-PapersOnLine. 53:15180-15185
We design, implement and test two control algorithms for autonomously landing a drone on an autonomous boat. The first algorithm uses distributed model predictive control (DMPC), while the second combines a cascade controller with DMPC. The algorithm
We propose a control protocol based on the prescribed performance control (PPC) methodology for a quadrotor unmanned aerial vehicle (UAV). Quadrotor systems belong to the class of underactuated systems for which the original PPC methodology cannot be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7f2aee9b88d6b927d23f2e6565ee964
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-325652
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-325652