Logical control in automatic systems

Shidlovskii, S. V.

doi:10.1134/s1064230706020122

Cited by 12 publications

(8 citation statements)

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“…This feature allows to recommend the method of series-parallel decomposition to practical use as providing a minimal increase of quality criteria values during decreasing values of technological restrictions [14].…”

Section: Analysis Of Computation Experiments Resultsmentioning

confidence: 99%

On the Selection of Optimal Structure Organization of Logic Multicontrollers

2016

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Abstract. In the article the basic approaches to structural-parametric optimization of logical control systems in the basis of logical multicontrollers were given. Based on the results of a series of computational experiments we obtained the set of dependencies on the deterioration of the quality criteria of separations of graph-schemes of parallel logic control algorithms and corresponding parameters values of LMC from technological restrictions on the controller structure. It is shown that the structure of the LMC with a large number of simple controllers is preferred.

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Section: Analysis Of Computation Experiments Resultsmentioning

confidence: 99%

On the Selection of Optimal Structure Organization of Logic Multicontrollers

2016

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“…Applying automaton-structured method [5] RCM functioning processing element algorithm could be synthesized: 2 , y 1 , y 2 -data inputs; f 1 ,…, f 4 -outputs; z 1 ,…, z 3 -setup inputs of RCM processing element [3,5].…”

Section: Ime T and 9 14mentioning

confidence: 99%

“…One possible solution of above-mentioned problem could be applying the reconfigurable computing medium (RCM) [1][2][3][4][5][6]. Hardware-in-the-loop RCM design and its functioning is based on grouped evaluator model:…”

Section: Introductionmentioning

confidence: 99%

Boolean Differentiation Equations Applicable in Reconfigurable Computational Medium

Shidlovskiy

2016

MATEC Web Conf.

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Abstract. High performance computing environment synthesis with parallel architecture reconstructing throughout the process itself is described. Synthesized computational medium involving Boolean differential equation calculations so as to function in real-time image processing. Automaton imaging was illustrated involving the rearrangement of every processing medium element to calculate the partial differentials of n-th order in respect to Boolean function variables. The method of obtaining setting codes for each element was also described. An example in calculating 2 nd -order Boolean derivative to two differentials in respect to Boolean functions, depending on three arguments within the reconstructible computational medium of 8x8 processing elements was given.

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“…RCE is a discrete mathematical model of a high-performance computing system consisting of identical and identically interconnected basic elements (processing elements / PE), softset for performing any function out of a complete range of logical functions, memory and any connections with neighbors [3][4][5]. PE in the RCE used operate on the basis of logical functions of AND, OR, NOT.…”

Section: Reconfigurable Computing Environmentsmentioning

confidence: 99%

Image Processing in Intelligent Medical Robotic Systems

Shashev

2016

MATEC Web Conf.

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Abstract. The paper deals with the use of high-performance computing systems with the parallel-operation architecture in intelligent medical systems, such as medical robotic systems, based on a computer vision system, is an automatic control system with the strict requirements, such as high reliability, accuracy and speed of performance. It shows the basic block-diagram of an automatic control system based on a computer vision system. The author considers the possibility of using a reconfigurable computing environment in such systems. The design principles of the reconfigurable computing environment allows to improve a reliability, accuracy and performance of whole system many times. The article contains the brief overview and the theory of the research, demonstrates the use of reconfigurable computing environments for the image preprocessing, namely morphological image processing operations. Present results of the successful simulation of the reconfigurable computing environment and implementation of the morphological image processing operations on the test image in the MATLAB Simulink.

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Logical control in automatic systems

Cited by 12 publications

References 0 publications

On the Selection of Optimal Structure Organization of Logic Multicontrollers

On the Selection of Optimal Structure Organization of Logic Multicontrollers

Boolean Differentiation Equations Applicable in Reconfigurable Computational Medium

Image Processing in Intelligent Medical Robotic Systems

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