Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Johan de Kleer"'
Autor:
Arjan van Gemund, Lukas Kuhn, Johan de Kleer, David Garcia, Scott Poll, Alexander Feldman, Sriram Narasimhan, Tolga Kurtoglu
Publikováno v:
International Journal of Prognostics and Health Management, Vol 1, Iss 1, Pp 40-67 (2010)
A variety of rule-based, model-based and datadriven techniques have been proposed for detection and isolation of faults in physical systems. However, there have been few efforts to comparatively analyze the performance of these approaches on the same
Externí odkaz:
https://doaj.org/article/93140abdff4a402e95e36a79dfa1fa03
Publikováno v:
AAAI
In Model-Based Diagnosis (MBD), we concern ourselves with the health and safety of physical and software systems. Although we often use different knowledge representations and algorithms, some tools like satisfiability (SAT) solvers and temporal logi
Publikováno v:
AAAI
We propose a new method for solving Initial Value Problems (IVPs). Our method is based on analog computing and has the potential to almost eliminate traditional switching time in digital computing. The approach can be used to simulate large systems l
Autor:
Johan de Kleer, Maksym Zhenirovskyy, Souma Chowdhury, Ion Matei, Christoforos Somarakis, Rahul Rai
Publikováno v:
IFAC-PapersOnLine. 53:1084-1089
We propose a theoretical framework for joint system identification and control on a class of stochastic linear systems. We investigate optimization algorithms for inferring endogenous and environmental parameters from data, part of which are used for
Publikováno v:
2021 60th IEEE Conference on Decision and Control (CDC).
Publikováno v:
Journal of Intelligent & Robotic Systems. 101
In this paper, we address the problem of multiple quadcopter control, where the quadcopters maneuver in close proximity resulting in interference due to air-drafts. We use sparse experimental data to estimate the interference area between palm sized
Publikováno v:
CDC
We address the problem of 2D position control of micro-objects (chiplets) immersed in fluid. An electric field, shaped by an array of electrodes, is used to transport and position chiplets using dielectrophoretic forces. We use a lumped, 2D, capaciti
Publikováno v:
ACC
Deep learning platforms have become hugely popular due to their successes in natural language processing and image processing. Our objective is to show how deep learning platforms can be used for control problems. We do not make judgments about their
Publikováno v:
ACC
We address the problem of learning laws governing the behavior of physical systems. As a use case we choose the discovery of the dynamics of micron-scale chiplets in dielectric fluid whose motion is controlled by a set of electric potential. We use t
Publikováno v:
Annual Conference of the PHM Society. 11
Machine learning methods based on classifiers are more robust to system complexity, but they ignore the relations that exist in the data due to the physical laws governing the behavior of the system. In this paper we discuss how (partial) knowledge a