8,834 research outputs found
Global Exponential Sampled-Data Observers for Nonlinear Systems with Delayed Measurements
This paper presents new results concerning the observer design for wide
classes of nonlinear systems with both sampled and delayed measurements. By
using a small gain approach we provide sufficient conditions, which involve
both the delay and the sampling period, ensuring exponential convergence of the
observer system error. The proposed observer is robust with respect to
measurement errors and perturbations of the sampling schedule. Moreover, new
results on the robust global exponential state predictor design problem are
provided, for wide classes of nonlinear systems.Comment: 17 pages, submitted for possible publication to Systems and Control
Letter
Nonlinear predictors for systems with bounded trajectories and delayed measurements
Novel nonlinear predictors are studied for nonlinear systems with delayed measurements without
assuming globally Lipschitz conditions or a known predictor map but requiring instead bounded state
trajectories. The delay is constant and known. These nonlinear predictors consists of a series of dynamic
filters that generate estimates of the state vector (and its maximum magnitude) at different delayed time
instants which differ from one another by a small fraction of the overall delay
Recent advances on recursive filtering and sliding mode design for networked nonlinear stochastic systems: A survey
Copyright © 2013 Jun Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.Some recent advances on the recursive filtering and sliding mode design problems for nonlinear stochastic systems with network-induced phenomena are surveyed. The network-induced phenomena under consideration mainly include missing measurements, fading measurements, signal quantization, probabilistic sensor delays, sensor saturations, randomly occurring nonlinearities, and randomly occurring uncertainties. With respect to these network-induced phenomena, the developments on filtering and sliding mode design problems are systematically reviewed. In particular, concerning the network-induced phenomena, some recent results on the recursive filtering for time-varying nonlinear stochastic systems and sliding mode design for time-invariant nonlinear stochastic systems are given, respectively. Finally, conclusions are proposed and some potential future research works are pointed out.This work was supported in part by the National Natural Science Foundation of China under Grant nos. 61134009, 61329301, 61333012, 61374127 and 11301118, the Engineering and Physical Sciences Research Council (EPSRC) of the UK under Grant no. GR/S27658/01, the Royal Society of the UK, and the Alexander von Humboldt Foundation of Germany
Testing foundations of quantum mechanics with photons
The foundational ideas of quantum mechanics continue to give rise to
counterintuitive theories and physical effects that are in conflict with a
classical description of Nature. Experiments with light at the single photon
level have historically been at the forefront of tests of fundamental quantum
theory and new developments in photonics engineering continue to enable new
experiments. Here we review recent photonic experiments to test two
foundational themes in quantum mechanics: wave-particle duality, central to
recent complementarity and delayed-choice experiments; and Bell nonlocality
where recent theoretical and technological advances have allowed all
controversial loopholes to be separately addressed in different photonics
experiments.Comment: 10 pages, 5 figures, published as a Nature Physics Insight review
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