19,619 research outputs found
A Supervisor for Control of Mode-switch Process
Many processes operate only around a limited number of operation points. In order to have adequate control around each operation point, and adaptive controller could be used. When the operation point changes often, a large number of parameters would have to be adapted over and over again. This makes application of conventional adaptive control unattractive, which is more suited for processes with slowly changing parameters. Furthermore, continuous adaptation is not always needed or desired. An extension of adaptive control is presented, in which for each operation point the process behaviour can be stored in a memory, retrieved from it and evaluated. These functions are co-ordinated by a ÂżsupervisorÂż. This concept is referred to as a supervisor for control of mode-switch processes. It leads to an adaptive control structure which quickly adjusts the controller parameters based on retrieval of old information, without the need to fully relearn each time. This approach has been tested on experimental set-ups of a flexible beam and of a flexible two-link robot arm, but it is directly applicable to other processes, for instance, in the (petro) chemical industry
Neural Networks for Modeling and Control of Particle Accelerators
We describe some of the challenges of particle accelerator control, highlight
recent advances in neural network techniques, discuss some promising avenues
for incorporating neural networks into particle accelerator control systems,
and describe a neural network-based control system that is being developed for
resonance control of an RF electron gun at the Fermilab Accelerator Science and
Technology (FAST) facility, including initial experimental results from a
benchmark controller.Comment: 21 p
Tracking Angles of Departure and Arrival in a Mobile Millimeter Wave Channel
Millimeter wave provides a very promising approach for meeting the
ever-growing traffic demand in next generation wireless networks. To utilize
this band, it is crucial to obtain the channel state information in order to
perform beamforming and combining to compensate for severe path loss. In
contrast to lower frequencies, a typical millimeter wave channel consists of a
few dominant paths. Thus it is generally sufficient to estimate the path gains,
angles of departure (AoDs), and angles of arrival (AoAs) of those paths.
Proposed in this paper is a dual timescale model to characterize abrupt channel
changes (e.g., blockage) and slow variations of AoDs and AoAs. This work
focuses on tracking the slow variations and detecting abrupt changes. A Kalman
filter based tracking algorithm and an abrupt change detection method are
proposed. The tracking algorithm is compared with the adaptive algorithm due to
Alkhateeb, Ayach, Leus and Heath (2014) in the case with single radio frequency
chain. Simulation results show that to achieve the same tracking performance,
the proposed algorithm requires much lower signal-to-noise-ratio (SNR) and much
fewer pilots than the other algorithm. Moreover, the change detection method
can always detect abrupt changes with moderate number of pilots and SNR.Comment: 6 pages, 7 figures, submitted to ICC 201
Optimal Beamforming for Hybrid Satellite Terrestrial Networks with Nonlinear PA and Imperfect CSIT
In hybrid satellite-terrestrial networks (HSTNs), spectrum sharing is crucial
to alleviate the "spectrum scarcity" problem. Therein, the transmit beams
should be carefully designed to mitigate the inter-satellite-terrestrial
interference. Different from previous studies, this work considers the impact
of both nonlinear power amplifier (PA) and large-scale channel state
information at the transmitter (CSIT) on beamforming. These phenomena are
usually inevitable in a practical HSTN. Based on the Saleh model of PA
nonlinearity and the large-scale multi-beam satellite channel parameters, we
formulate a beamforming optimization problem to maximize the achievable rate of
the satellite system while ensuring that the inter-satellite-terrestrial
interference is below a given threshold. The optimal amplitude and phase of
desired beams are derived in a decoupled manner. Simulation results demonstrate
the superiority of the proposed beamforming scheme.Comment: 5 pages, 5 figures, journa
Light-sheet microscopy: a tutorial
This paper is intended to give a comprehensive review of light-sheet (LS) microscopy from an optics perspective. As such, emphasis is placed on the advantages that LS microscope configurations present, given the degree of freedom gained by uncoupling the excitation and detection arms. The new imaging properties are first highlighted in terms of optical parameters and how these have enabled several biomedical applications. Then, the basics are presented for understanding how a LS microscope works. This is followed by a presentation of a tutorial for LS microscope designs, each working at different resolutions and for different applications. Then, based on a numerical Fourier analysis and given the multiple possibilities for generating the LS in the microscope (using Gaussian, Bessel, and Airy beams in the linear and nonlinear regimes), a systematic comparison of their optical performance is presented. Finally, based on advances in optics and photonics, the novel optical implementations possible in a LS microscope are highlighted.Peer ReviewedPostprint (published version
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