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Publikováno v:
CDC
We analyze stochastic differential equations and their discretizations to derive novel high probability tracking bounds for exponentially stable time varying systems which are corrupted by process noise. The bounds have an explicit dependence on the
Autor:
W. Steven Gray
Publikováno v:
CDC
A class of nonlinear matched filters is introduced suitable for detection problems using Chen–Fliess functional series. Such series can be viewed as a noncommutative analogue of Taylor series. They are written in terms of a weighted sum of iterated
Autor:
Yang Yan, Zhang Ling-ling
Publikováno v:
2019 Chinese Control And Decision Conference (CCDC).
The positive classical solutions of nonlinear reaction diffusion equations is given under nonlinear boundary flux in bounded domain. By constructing auxiliary functions and applying the maximum principle, the sufficient conditions for the existence o
Autor:
Tomoaki Ohtsuki, Lu Wang
Publikováno v:
APSIPA
Nonlinear blind source separation is the process of estimating either the original signals or mixture functions from the degraded signals, without any prior information about original sources. The key idea is to recover the sources by estimating an a
Publikováno v:
2018 Annual American Control Conference (ACC).
This article considers the $\mathcal{H}_{\infty}$ static output-feedback control for linear time-invariant (LTI) uncertain systems with nonlinear dependence on probabilistic time-invariant parametric uncertainties. By applying polynomial chaos theory
Autor:
Branko Ristic, Mahendra Mallick
Publikováno v:
FUSION
Bearing-only and ground moving target indicator (GMTI) filtering are important practical nonlinear filtering problems that have been widely studied. The bearing-only filtering problem is regarded as a challenging nonlinear filtering problem. The degr
Autor:
Qiuwei Li, Gongguo Tang
Publikováno v:
GlobalSIP
This work investigates the parameter estimation performance of super-resolution line spectral estimation using atomic norm minimization. The focus is on analyzing the algorithm's accuracy of inferring the frequencies and complex magnitudes from noisy
Autor:
Chinmay Hegde, Mohammadreza Soltani
Publikováno v:
ACSSC
Signal demixing is of special importance in several applications ranging from astronomy to computer vision. The goal in demixing is to recover a set of signals from their linear superposition. In this paper, we study the more challenging scenario whe
Publikováno v:
2016 35th Chinese Control Conference (CCC).
A novel nonlinear feedback control design methodology for incompressible fluid flows aiming at the optimisation oflong-time averages of key flow quantities is presented. The key idea, first outlined in Ref. [1], is that the difficulties of treatingan
Autor:
Aris L. Moustakas, Pavlos Kazakopoulos
Publikováno v:
ISIT
Optical fiber communications can be modeled using the non-linear Schrodinger equation, which is integrable. In this paper we show how integrability can be exploited to communicate using multisoliton pulses. Starting with a white Gaussian input signal