The classification of remotely sensed multispectral data using classical statistical methods has been worked on for several decades. Recently there have been many new developments in neural network (NN) research, and ...
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An ensemble of neural networks with competitive learning and consensus schemes is proposed. Conventional learning methods utilize all the dimensions of the original input patterns. However, a particular attribute of t...
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This paper reviews progress in developing a mathematical framework to evaluate the performance of mobile radio links. It takes into account multi-ray multipath fading with Rician or Nakagami probability density, logno...
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In this paper, a quick identification method based on the short time record of input-output data is introduced for joint state and parameter estimation of nonlinear continuous-time systems. The method can then be used...
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In this paper, a quick identification method based on the short time record of input-output data is introduced for joint state and parameter estimation of nonlinear continuous-time systems. The method can then be used for on-line monitoring the system with unknown parameters. An application way of the method to main-steam temperature control of a thermal power plant are developed in the framework of model reference adaptive control system (MRACS). Simulation studies on a super-heater model have been carried out to demonstrate the effectiveness of the proposed method.
In this paper, the problem of implementing the Miller-Davison (1989) self-tuning integral robust servomechanism for the case of constant references and disturbances is considered and examined using an experimental mul...
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In this paper, the problem of implementing the Miller-Davison (1989) self-tuning integral robust servomechanism for the case of constant references and disturbances is considered and examined using an experimental multi-input multi-output apparatus; cases involving both known and unknown estimates of the steady state gain matrix T are considered. In order to improve the speed of response, proportional feedback has been added in both instances, and this has yielded a superior transient response.
This paper studies the ability of the exponentially weighted RLS algorithm to track a Doppler shifted BPSK communications signal. This is modeled as a chirped AR1 process in Gaussian white noise. Expressions for the o...
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This paper studies the ability of the exponentially weighted RLS algorithm to track a Doppler shifted BPSK communications signal. This is modeled as a chirped AR1 process in Gaussian white noise. Expressions for the optimum Wiener filter, noise misadjustment, and lag misadjustment are shown. It is shown that as in the chirped sinusoid case the error can be written in terms of the forgetting rate /spl beta/=1-/spl lambda/ of the RLS algorithm; the noise misadjustment is of the order /spl beta/ and lag misadjustment of order 1//spl beta//sup 2/. However, as the bandwidth of the signal increases the relative lag misadjustment is shown to decrease.< >
The problem of correctness and timing of reactions of an agent in interaction with a physical environment is addressed. To this end, a method based on composition of separate models of the software and the environment...
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The extended kalman filter is applied to localize a target in a plane from range and bearing measurements and from bearing only measurements received at an observer. The model is a constant bearing between and the tar...
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The Joint Detection/Estimation Filter (JDEF) [1,2] can be utilized to improve the performance of a single Extended Kalmart Filter (EKF) when the problem of estimation involves a large initial variance. In this case th...
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