4,261 research outputs found
On a small-gain approach to distributed event-triggered control
In this paper the problem of stabilizing large-scale systems by distributed
controllers, where the controllers exchange information via a shared limited
communication medium is addressed. Event-triggered sampling schemes are
proposed, where each system decides when to transmit new information across the
network based on the crossing of some error thresholds. Stability of the
interconnected large-scale system is inferred by applying a generalized
small-gain theorem. Two variations of the event-triggered controllers which
prevent the occurrence of the Zeno phenomenon are also discussed.Comment: 30 pages, 9 figure
Fabrication of planar colloidal clusters with template-assisted interfacial assembly.
The synthesis of nanoparticle clusters, also referred to as colloidal clusters or colloidal molecules, is being studied intensively as a model system for small molecule interactions as well as for the directed self-assembly of advanced materials. This paper describes a technique for the interfacial assembly of planar colloidal clusters using a combination of top-down lithographic surface modification and bottom-up Langmuir-Blodgett deposition. Micrometer sized polystyrene latex particles were deposited onto a chemically modified substrate from a decane-water interface with Langmuir-Blodgett deposition. The surface of the substrate contained hydrophilic domains of various size, spacing, and shape, while the remainder of the substrate was hydrophobic. Particles selectively deposited onto hydrophilic regions from the decane-water interface. The number of deposited particles depended on the size of each patch, thereby demonstrating that tuning cluster size is possible by engineering patch geometry. Following deposition, the clusters were permanently bonded with temperature annealing and then removed from the substrate via sonication. The permanently bonded planar colloidal clusters were stable in an aqueous environment and at a decane-water interface laden with isotropic colloidal particles. The method is a simple and fast way to synthesize colloidal clusters with few limitations on particle chemistry, composition, and shape.The authors thank Professor Luis M. Liz-Marzan, head of the Colloidal Chemistry Group at Universidade de Vigo, Spain, for the gold nanorod suspension. The research was performed as part of the IAP program MICROMAST financed by BELSPO. The FWO Vlaanderen, projects G.0554.10 and G.0697.11, as well as the ERC starting grant 337739 - HIENA are gratefully acknowledged for their financial support.This is the accepted manuscript. The final version is available from ACS at http://pubs.acs.org/doi/abs/10.1021/la504383m
Attosecond control of electron dynamics in carbon monoxide
Laser pulses with stable electric field waveforms establish the opportunity
to achieve coherent control on attosecond timescales. We present experimental
and theoretical results on the steering of electronic motion in a
multi-electron system. A very high degree of light-waveform control over the
directional emission of C+ and O+ fragments from the dissociative ionization of
CO was observed. Ab initio based model calculations reveal contributions to the
control related to the ionization and laser-induced population transfer between
excited electronic states of CO+ during dissociation
Reinforcement learning in populations of spiking neurons
Population coding is widely regarded as a key mechanism for achieving reliable behavioral responses in the face of neuronal variability. But in standard reinforcement learning a flip-side becomes apparent. Learning slows down with increasing population size since the global reinforcement becomes less and less related to the performance of any single neuron. We show that, in contrast, learning speeds up with increasing population size if feedback about the populationresponse modulates synaptic plasticity in addition to global reinforcement. The two feedback signals (reinforcement and population-response signal) can be encoded by ambient neurotransmitter concentrations which vary slowly, yielding a fully online plasticity rule where the learning of a stimulus is interleaved with the processing of the subsequent one. The assumption of a single additional feedback mechanism therefore reconciles biological plausibility with efficient learning
Spectroscopy of Ne for the thermonuclear O()Ne and F()O reaction rates
Uncertainties in the thermonuclear rates of the
O()Ne and F()O reactions
affect model predictions of light curves from type I X-ray bursts and the
amount of the observable radioisotope F produced in classical novae,
respectively. To address these uncertainties, we have studied the nuclear
structure of Ne over MeV and MeV using
the F(He,t)Ne reaction. We find the values of the
4.14 and 4.20 MeV levels to be consistent with and
respectively, in contrast to previous assumptions. We confirm the recently
observed triplet of states around 6.4 MeV, and find evidence that the state at
6.29 MeV, just below the proton threshold, is either broad or a doublet. Our
data also suggest that predicted but yet unobserved levels may exist near the
6.86 MeV state. Higher resolution experiments are urgently needed to further
clarify the structure of Ne around the proton threshold before a
reliable F()O rate for nova models can be determined.Comment: 5 pages, 3 figures, Phys. Rev. C (in press
Uma proposta pastoral junto aos portadores do vírus da AIDS
In preparation.In preparación.Em preparação
First-order structural transition in the magnetically ordered phase of Fe1.13Te
Specific heat, resistivity, magnetic susceptibility, linear thermal expansion
(LTE), and high-resolution synchrotron X-ray powder diffraction investigations
of single crystals Fe1+yTe (0.06 < y < 0.15) reveal a splitting of a single,
first-order transition for y 0.12. Most
strikingly, all measurements on identical samples Fe1.13Te consistently
indicate that, upon cooling, the magnetic transition at T_N precedes the
first-order structural transition at a lower temperature T_s. The structural
transition in turn coincides with a change in the character of the magnetic
structure. The LTE measurements along the crystallographic c-axis displays a
small distortion close to T_N due to a lattice striction as a consequence of
magnetic ordering, and a much larger change at T_s. The lattice symmetry
changes, however, only below T_s as indicated by powder X-ray diffraction. This
behavior is in stark contrast to the sequence in which the phase transitions
occur in Fe pnictides.Comment: 6 page
3-D TCAD Monte Carlo device simulator : state-of-the-art FinFET simulation
This work presents a comprehensive description of an in-house 3D Monte Carlo device simulator for physical mod-eling of FinFETs. The simulator was developed to consider var-iability effects properly and to be able to study deeply scaled devices operating in the ballistic and quasi-ballistic regimes. The impact of random dopants and trapped charges in the die-lectric is considered by treating electron-electron and electron-ion interactions in real-space. Metal gate granularity is in-cluded through the gate work functionvariation. The capability to evaluate these effects in nanometer3D devices makes the pre-sented simulator unique, thus advancing the state-of-the-art. The phonon scattering mechanisms, used to model the transport of electrons in puresilicon material system, were validated by comparing simulated drift velocities withavailable experi-mental data. The proper behavior of the device simulator is dis-played in a series of studies of the electric potentialin the device, the electron density, the carrier's energy and velocity, and the Id-Vg and Id-Vd curves
Lock-free Parallel Dynamic Programming
We show a method for parallelizing top down dynamic programs in a straightforward way by a careful choice of a lock-free shared hash table implementation and randomization of the order in which the dynamic program computes its subproblems. This generic approach is applied to dynamic programs for knapsack, shortest paths, and RNA structure alignment, as well as to a state-of-the-art solution for minimizing the máximum number of open stacks. Experimental results are provided on three different modern multicore architectures which show that this parallelization is effective and reasonably scalable.
In particular, we obtain over 10 times speedup for 32 threads on the open stacks problem
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