In this work we apply the new noise reduction method for the enhancement of the images of gene chips. We demonstrate that the new technique is capable of reducing various kinds of noise present in microarray images an...
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In this paper a new robust steepest-descent algorithm for discrete-time iterative learning control is introduced for plant models with multiplicative uncertainty. A theoretical analysis of the algorithm shows that if ...
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In this paper a new robust steepest-descent algorithm for discrete-time iterative learning control is introduced for plant models with multiplicative uncertainty. A theoretical analysis of the algorithm shows that if a tuning parameter in the algorithm is selected to be sufficiently large, the algorithm will result in monotonic convergence if the plant uncertainty satisfies a positivity condition. This is a major improvement when compared to the standard steepest-descent algorithm, which lacks a mechanism for finding a balance between convergence speed and robustness. Experimental work on a gantry robot is performed to demonstrate that the algorithm results in near perfect tracking in the limit.
In this paper, we study the stability and the stabilisation of 2D discrete linear systems with multiple state delays. All of the new results obtained are based on analysis of the Fornasini-Marchesini state space model...
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In this paper, we study the stability and the stabilisation of 2D discrete linear systems with multiple state delays. All of the new results obtained are based on analysis of the Fornasini-Marchesini state space model with delays and the resulting conditions are given in terms of linear matrix inequalities (LMIs). A numerical example is given to illustrate the effectiveness of the overall approach.
Differential linear repetitive processes are a class of continuous-discrete 2D linear systems of both systems theoretic and applications interest. The feature which makes them distinct from other classes of such syste...
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In this paper, we provide and analyze a sigmoidal optimization of a recently developed class of weighted vector directional filters (WVDFs) outputting the input multichannel sample associated with the minimum sum of w...
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A collection of one or more devices, each described by its digital device manual and reachable over a network, is a ConnectedSpace. A set of safety policies may be enforced on a ConnectedSpace to ensure the safety of ...
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A collection of one or more devices, each described by its digital device manual and reachable over a network, is a ConnectedSpace. A set of safety policies may be enforced on a ConnectedSpace to ensure the safety of the environment in which the ConnectedSpace is deployed. The enforcement of these safety policies by one or more safely controllers governs the behavior of the devices within the ConnectedSpace. We propose a policy-based partitioning scheme for synthesizing k distributed safety controllers such that: (a) each device is guaranteed to be controlled by no more than two controllers, and (b) each policy is guaranteed to be enforced by exactly one controller. We present an experimental evaluation of our scheme. The experimental results show that the scheme is scalable with respect to the number of devices and the number of policies. We also show how safety controllers that are correct with respect to the policies, are synthesized using the theory of supervisory control.
In this paper a new method of impulsive noise reduction in microarray images is presented. The new technique is capable of attenuating impulsive noise, while preserving the sharpness of the image edges. Extensive simu...
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In this paper a novel approach to the problem of impulsive noise reduction in color images based on the nonparametric density estimation is presented. The basic idea behind the new image filtering technique is the max...
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In this paper a novel approach to the problem of impulsive noise reduction in color images based on the nonparametric density estimation is presented. The basic idea behind the new image filtering technique is the maximization of the similarities between pixels in a predefined filtering window. The new method is faster than the standard vector median filter (VMF) and preserves better edges and fine image details. Simulation results show that the proposed method outperforms standard algorithms of the reduction of impulsive noise in color images.
In this paper, a vector generalization of weighted median optimization approaches is provided. The proposed optimized weighted vector median filters utilize the relationship between standard median filter and vector m...
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Repetitive processes are a distinct class of 2D systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension o...
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Repetitive processes are a distinct class of 2D systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or 2D systems theory. Here we give new results on the relatively open problem of the design of physically based control laws using an H/sub /spl infin// setting. These results are for the sub-class of so-called discrete linear repetitive processes which arise in applications areas such as iterative learning control.
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