Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Shahar Ben Menahem"'
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 25:613-638
In this paper, we examine the control of robot manipulators utilizing a Radial Basis Function (RBF) neural network. We are able to remove the typical requirement of Persistence of Excitation (PE) for the desired trajectory by introducing an error min
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 24:445-466
We consider a neural network-based controller for a rigid serial link manipulator with uncertain plant parameters. We assume that the training signal to the network is corrupted by signal-dependent noise. A radial basis function network is utilized i
Publikováno v:
IFAC Proceedings Volumes. 41:11708-11713
Neural network based control of a serial-link robotic manipulator is considered subject to a signal dependent noise (SDN) model corrupting the training signal. A radial basis function (RBF) network is utilized in the feedforward control to approximat
Autor:
Shahar Ben-Menahem, Bernard C. Kress, Abraham K. Ishihara, Vincent Brac-de-la-Perriere, Greg Dorais
Publikováno v:
SPIE Proceedings.
This paper discuses a novel, rollable, mass fabricable, low-concentration photovoltaic sheets for Cubesats providing them with efficient photoelectric conversion of sunlight and secondary diffuse light. The wrap consists of three thin (of order a mil
Publikováno v:
SPIE Proceedings.
In this paper, we discuss optimization of a novel low-concentration photovoltaic system with the following properties: (1) static concentration without the need for tracking (2) thermal uniformity via Diffraction Efficiency Modulation (DEM), and (3)
Publikováno v:
SPIE Proceedings.
In this paper, we discuss various aspects of the control and sensing in a flexible wing aircraft using embedded LPFG (Long Period Fiber Grating). Driven by the need to improve aerodynamic efficiency and reduce fuel burn, interest in light-weight stru
Publikováno v:
SPIE Proceedings.
We present a novel LP-CPV (Low Power Concentrating Photo-Voltaics) technology well suited for Low Earth Orbit small satellites. The LP-CPV consists of three layers: the first two layers are optical redirection layers which implement non-tracking conc
Autor:
Shahar Ben-Menahem, Stephen C. Yang
Publikováno v:
2012 38th IEEE Photovoltaic Specialists Conference.
We report on a physics-based suite of machine-learning algorithms which performs online, real-time photovoltaic-array incipient hot-spot diagnostics and prognostics, using as input panel-string electrical sensor data. These data consist of module-str
Publikováno v:
Power and Energy Systems and Applications.