The problem of robust filtering design for uncertain linear systems with guaranteed peak-to-peak performance is addressed in this paper. The uncertain parameters are assumed to belong to convex bounded domains (i.e. p...
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The problem of robust filtering design for uncertain linear systems with guaranteed peak-to-peak performance is addressed in this paper. The uncertain parameters are assumed to belong to convex bounded domains (i.e. polytope type uncertainty). The aim is to design a full-order stable linear filter that minimizes the worst-case peak value of the filtering error output signal with respect to all magnitude bounded noise inputs, in such way that the filtering error system remains robustly stable. The minimization provides an upper bound to the L ∞ induced gain ( ℓ ∞ for discrete-time systems) of the filtering error system. The conditions for the existence of such robust filter are provided in terms of linear matrix inequalities, allowing the use of standard convex optimization procedures to solve the problem. Both continuousand discrete-time systems are considered. The formulation presented is illustrated by examples.
The problem of robust H ∞ filter design for uncertain continuous-time linear systems with multiple time-delayed states is addressed in this paper. The uncertainties are assumed to belong to convex bounded domains (po...
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The problem of robust H ∞ filter design for uncertain continuous-time linear systems with multiple time-delayed states is addressed in this paper. The uncertainties are assumed to belong to convex bounded domains (polytope type uncertainty) and the time delays are supposed to be constant. Delay-independent as well as delay-dependent stability conditions assuring robust stability and a prescribed H ∞ disturbance attenuation for the filtering error system are established, in both cases, in terms of linear matrix inequalities, which can be efficiently solved by standard optimization procedures with global convergence assured. Two illustrative examples are analyzed.
Background and Objective Recent studies have indicated that chondrocyte viability decreases with prolonged or repeated laser irradiation. To optimize laser-mediated cartilage reshaping, the heating process must be fin...
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The sufficient statistic for the likelihood ratio test between pairwise interaction point processes is well-known. However, the evaluation of its performance is a challenging problem. In this paper it is shown that th...
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The sufficient statistic for the likelihood ratio test between pairwise interaction point processes is well-known. However, the evaluation of its performance is a challenging problem. In this paper it is shown that the distribution of the sufficient statistic can be approximated by the distribution of a Poisson-driven shot-noise random variable. This latter distribution can be readily computed using numerical methods.
A jamming game is considered. A transmitter encodes the data, in a product code (PC), and transmits it in a slow frequency-hopped spread-spectrum (FHSS) system. A hostile jammer attempts to block correct packet recept...
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A jamming game is considered. A transmitter encodes the data, in a product code (PC), and transmits it in a slow frequency-hopped spread-spectrum (FHSS) system. A hostile jammer attempts to block correct packet reception by adjusting the fraction of the total band in which it distributes the jam power, /spl rho/. Two cases are considered. In the first case, the transmitter declares his strategy and the jammer uses this information to select his best jamming fraction. In the second case, the jammer declares his strategy first and the transmitter uses this information to select his best rates. Results are obtained using asymptotic analysis of a product code using singly extended Reed-Solomon (RS) row and column codes whose size grows large. This asymptotic analysis leads to good choices of the row and column rates for the PC in both cases.
Using the finite-difference time-domain method, three-dimensional scattering patterns are computed for cells containing multiple organelles. The scattering cross section and average cosine of the scattering angle are ...
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Using the finite-difference time-domain method, three-dimensional scattering patterns are computed for cells containing multiple organelles. The scattering cross section and average cosine of the scattering angle are computed for cells as a function of volume fraction of melanin granules and mitochondria, Results show that small organelles play a significant role in light scattering from cells, and the volume fraction of organelles affects both the total amount of scattered light and the angular distribution of scattered light.
The relationship between optical properties and image contrast in confocal imaging is investigated. A Monte Carlo simulation has been developed to analyze the effects of changes in scattering, index of refraction, and...
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The relationship between optical properties and image contrast in confocal imaging is investigated. A Monte Carlo simulation has been developed to analyze the effects of changes in scattering, index of refraction, and absorption in a three-layer medium. Contrast was calculated from the computed signal-to-background ratios for changes in tissue optical properties. Results show that the largest source of contrast is changes in refractive index. (C) 1996 Optical Society of America
A method that does not use numerical integration is presented for approximating the cumulative distribution of integer-valued random variables from their characteristic functions. Bounds on the approximation error are...
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A method that does not use numerical integration is presented for approximating the cumulative distribution of integer-valued random variables from their characteristic functions. Bounds on the approximation error are also given, The method is then used to compute photomultiplier counting distributions.
Presents two methods for determining significant frequencies in surface EMG recordings. In the first method, time-frequency distributions (TFDs) are analyzed to determine the ten most powerful frequencies (over time)....
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Presents two methods for determining significant frequencies in surface EMG recordings. In the first method, time-frequency distributions (TFDs) are analyzed to determine the ten most powerful frequencies (over time). The TFD frequencies are further analyzed using a "cyclostationary" approach. In the second method, AR modeling is used to evaluate how significant spectral components in the surface EMG signals change over time. These methods are important for identifying significant spectral components in multichannel surface EMG recording so that these excitations can be localized within the muscle.
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