In this paper, we discuss CNN based adaptive nonlinear filters derived from robust statistic and geometry-driven diffusion paradigms. The base models of both approaches are defined as difference controlled nonlinear (...
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In this paper, we discuss CNN based adaptive nonlinear filters derived from robust statistic and geometry-driven diffusion paradigms. The base models of both approaches are defined as difference controlled nonlinear (DCN) CNN templates while the self-adjusting property is ensured by simple analogic (analog and logic) CNN algorithms. The proposed methods provide a practical framework for VLSI implementation, since all nonlinear cell interactions of the CNN architecture are deduced to two fundamental nonlinearities, to a sigmoid-type and a radial basis function. These nonlinear characteristics in DCN templates can be approximated by simple piecewise-linear functions of the difference voltage of neighboring cells. The simplification makes possible to convert all space invariant nonlinear templates of this study to a standard instruction set of the CNN Universal Machine, where each instruction is coded by at most 10 analog numbers. Through examples it is demonstrated, that such CNN based adaptive nonlinear filters have excellent performance in filtering both the impulsive and Gaussian noise while preserving the image structure.
Pure time delays in multivariable control systems place severe restrictions on achievable feedback performance. This paper considers an approach to modelling distributed time-delay systems using discrete convolution. ...
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In this paper, the architecture of a fuzzy processor intended for high-speed control applications is described. Its main advantage is the inference speed that does not depend on the number of used inputs and rules. Th...
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In this paper, the architecture of a fuzzy processor intended for high-speed control applications is described. Its main advantage is the inference speed that does not depend on the number of used inputs and rules. This is accomplished by the usage of content addressable memory as a rule set storage. The proposed architecture was simulated and the simulation results give the inference speed of about 200 KFLIPS.
A new technique for control system design based on the Optimal Constrained Covariance Control (OC 3 ) is presented. A design procedure of control system for dynamic ship positioning is proposed. In the papers publishe...
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A new technique for control system design based on the Optimal Constrained Covariance Control (OC 3 ) is presented. A design procedure of control system for dynamic ship positioning is proposed. In the papers published so far the controller gain matrices were detennined using the classical Linear Quadratic Gaussian (LQG) optimal control technique, the pole-placement technique and characteristic locus design method. The main disadvantage of these techniques is their poor correspondence with the real performance requirements of control system. Using the proposed technique this disadvantage is avoided. The results of computer simulation using OC 3 control are presented.
Size modification of binary pictures can be mapped onto the CNN array using space variant linear templates. However, if all the parameters have to be set for each cell individually, then one of the CNN's main adva...
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Size modification of binary pictures can be mapped onto the CNN array using space variant linear templates. However, if all the parameters have to be set for each cell individually, then one of the CNN's main advantages will be lost in practice, the simple and quick parallel reprogrammability. In this paper, a general methodology is presented to derive the space variant templates of the complete weighting matrix from control pictures applying a simple nonlinear space invariant template. The straightforward design method presumes a modified CNN architecture (multiple input and specific nonlinear voltage-controlled current sources in every cell) and can be extended for a large class of sparse weighting matrices. Following this strategy the diminishment and enlargement process has been investigated using constant cell current and various bias maps in the transformations.
A vertex (edge) coloring c∶V → {1, 2, , t} (c′∶E → {1, 2, , t}) of a graph G=(V, E) is a vertex (edge) t-ranking if for any two vertices (edges) of the same color every path between them contains a vertex (edge) ...
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This paper sets out to provide a basis for a specification methodology for modelbased diagnostic systems (MBDS). The purpose of the methodology is to provide a mapping from the problem space of possible diagnostic app...
Model-based diagnosis is regarded by many as a way to overcome the limitations of first-generation knowledge-based systems which perform fault classification by means of empirical symptom-failure associations. Many di...
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Model-based diagnosis is regarded by many as a way to overcome the limitations of first-generation knowledge-based systems which perform fault classification by means of empirical symptom-failure associations. Many different approaches to model-based diagnosis exist. The ESPRIT ARTIST project, focusing on the development of model-based techniques for diagnosis of industrial systems, has tried to integrate these approaches within a common generic architecture so that a given application system could be generated by composing a particular diagnostic system from a set of predeveloped and hence reusable modules. There is an overview of the main results of the ARTIST project, its generic architecture and the three diagnostic systems developed and tested within the project. An industrial application to management of electrical transmission networks is presented.
An experimental system was built up and tested for optical path tracking of a robot, where a 16*16 connected component detector chip with direct optical input was used. The speed of computation in the experimental arc...
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An experimental system was built up and tested for optical path tracking of a robot, where a 16*16 connected component detector chip with direct optical input was used. The speed of computation in the experimental architecture was analyzed.< >
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