摘要:

This paper considers the filtering problem for discrete-time linear systems where the distributions of the process and observation noises are of gaussian sum distributions. Since the gaussian sum noise can be considered to be a sample from one of the gaussian distributions forming the gaussian sum, we define the distribution selection parameters that specify sample noises from the gaussian sum distribution. By using the maximuma posteriori(MAP) estimates of the selection parameters, a robust state estimation algorithm combined with the Kalman filter is developed. Simulation studies are also included to show the effectiveness of the present algorithm.

ISSN:0020-7721    

DOI:10.1080/00207728708967148

出版商:Taylor & Francis Group    

年代:1987

数据来源: Taylor

ISSN:0020-7721    

DOI:10.1080/00207728708967149

出版商:Taylor & Francis Group    

年代:1987

数据来源: Taylor

摘要:

Manipulations of polynomials and polynomial matrices, basic to the polynomial equation approach to control system design, are dissected in a manner suitable for repeatable, rhythmic solution. These solutions are then implemented on systolic arrays. An introduction to a systematic design and analysis procedure for systolic arrays, along with an example, concludes the paper.

ISSN:0020-7721    

DOI:10.1080/00207728708967150

出版商:Taylor & Francis Group    

年代:1987

数据来源: Taylor

摘要:

A method has been developed for determining a low-order model for a large multivariable system from its measured input-output data. It is based on the use of a matrix pseudo-inverse to estimate the parameters of the model which minimize the sum of the squares of the errors between the responses of the original system and the low-order model at the sampling instants. A recursive algorithm is proposed which makes it useful for on-line applications. The method is used to obtain low-order models for a nuclear reactor turbine system. The outputs of the low-order models and those of the large-scale model (consisting of 11 non-linear differential equations and 36 algebraic equations) are compared for the turbine system.

ISSN:0020-7721    

DOI:10.1080/00207728708967151

出版商:Taylor & Francis Group    

年代:1987

数据来源: Taylor

摘要:

The goal of this work is the development of an e-invariance of non-linear Volterra equations by means of a class of control inputs. The e-invariance for such equations is established under appropriate hypotheses by using a suitable control scheme and a new approach to the formulation of non-linear problems.

ISSN:0020-7721    

DOI:10.1080/00207728708967152

出版商:Taylor & Francis Group    

年代:1987

数据来源: Taylor

摘要:

The membership function for implementing the enhancement algorithm as described by Pal and King (1981, 1983) is modified here. The modified version enables one to avoid using contrast intensification (INT) operators for enhancement and has been found significantly to reduce the time of computing the algorithm in addition to providing a better approximation to the standardSand Π membership functions. To give a quantitative evaluation of their relative performances, an edge ambiguity index has also been defined through fuzzy measures in a set. The value of the index is maximum for image input and decreases as the ambiguity in detecting edges diminishes. The δ(X) value, as expected, is also found to increase with increasing standard deviation of the noise injected onX.

ISSN:0020-7721    

DOI:10.1080/00207728708967153

出版商:Taylor & Francis Group    

年代:1987

数据来源: Taylor