We present a generalization of the MODE direction finding algorithm, using the interpolated array approach. The proposed algorithm is statistically efficient for uncorrelated, correlated and even coherent sources, and...
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We present a generalization of the MODE direction finding algorithm, using the interpolated array approach. The proposed algorithm is statistically efficient for uncorrelated, correlated and even coherent sources, and requires only a modest amount of computations. The use of array interpolation makes it possible to easily incorporate calibration data into the estimation procedure. The performance of the algorithm is evaluated by computer simulation, verifying its statistical efficiency.< >
For a given plant transfer function P ( s ) and cone size k, solutions to versions of the absolute stability problem boil down to finding a SPR multiplier Z ( s ) such that [ k ¯ - 1 + P ( s ) ] Z ( s ) is SPR. I...
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For a given plant transfer function P ( s ) and cone size k, solutions to versions of the absolute stability problem boil down to finding a SPR multiplier Z ( s ) such that [ k ¯ - 1 + P ( s ) ] Z ( s ) is SPR. In this paper, we consider an interval plant P ( s , q , r ) and prove that first order multiplierslead to vertex results when establishing the positive realnells of [ k ¯ - 1 + P ( s , q , r ) ] Z ( s ) . Additionally, we give an example of a second order multiplier and interval plant which fails to have this vertex property. These new results are then applied to the problem of robust stability of time-varying interval systems.
作者：
Völker, F.Dr.-Ing. Frank Völker (1958)
VDI studied mechanical engineering special subjects “powerengineering automatic control engineering and mechanical science” at the University-GH-Duisburg/Germany where he got his Dipl.-Ing. degree in 1984. From 1984 to 1990 he has been a scientific assistant at the department “Konstruktionslehre und Fördertechnik” special subject “computer simulation of the performance characteristics of driving systems” at the same University where he received his Dr.-Ing. degree in 1990. In 1990 he joined Klöckner-Moeller GmbH Bonn/Germany as research engineer at the department “Forschung”. Since 1992 he is manager of Energy Management Systems at this company. (Klöckner-Moeller GmbH Head Office Energy Management Systems Hein-Moeller-Str. 7-11 D-53115 Bonn T +49228/602 - 11 62 Fax +49228/602- 11 94)
A discrete thermal network is given as an equivalent circuit of the steady‐state thermal performance characteristics of circuit breakers. The immediate environment of the enclosure and the feeders of the unenclosed s...
In this note, an explicit solution to the multivariable discrete linear quadratic (LQ) regulation problem is obtained in the limiting singular case where the input weighting matrix tends to zero. Such a solution follo...
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In this note, an explicit solution to the multivariable discrete linear quadratic (LQ) regulation problem is obtained in the limiting singular case where the input weighting matrix tends to zero. Such a solution follows from a suitable spectral factorization of the input spectrum density matrix under the assumption that the system is stabilizable and detectable, and its transfer function matrix is a full rank. The suitable spectral factor is shown to be the product of the system minimum-phase image and its unitary interactor matrix. The unitary interactor matrix defined here is a special case of the nilpotent interactor matrix defined in [5].
Some aspects of mechanisms of approximate reasoning and knowledge acquisition for rule-based expert systems are studied in the framework of fuzzy relation equations used for the implementation of inference procedures....
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A new dynamic neural network structure is developed for simulating and controlling dynamic systems. Using this kind of neural network a controller for a hovering platform wants to be experimented. The network descript...
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This paper deals wich the analysis of stochastic Petri net (SPN) models with generally distributed transition firing times. A so - called hybrid state analysis (HSA) method is developed. The bask idea is to make the e...
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We show, under the assumptions described in the paper, that: (1) we can approximate a neural net to any degree of accuracy using a fuzzy expert system;and conversely (2) we may approximate a fuzzy expert system to any...
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We discuss the direct fuzzification of a standard layered, feedforward, neural network where the signals and weights are fuzzy sets. A fuzzified delta rule is presented for learning. TTiree implications are given incl...
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The fuzzy expert system we are concerned about in this paper is a rule based fuzzy expert system using any method of approximate reasoning to evaluate the rules when given new data. In this paper we argue that: (1) an...
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