控制论创立六十年

本文综述控制论提出后它的60年的发展,包括历史遭遇、对哲学引起的变革,并更新它的定义和归纳它的方法论.对目前出现的误解进行分析.对控制论的形成及其奠基人之争发表了看法.最后对控制论的推广、应用及其未来进行了评论.     

大系统理论研究中的波兰Findeisen学派

本文综述了波兰Findeisen学派在优化问题中的协调法、稳态控制中的迭代协调以及动态 控制中的协调等方面的重要成就.波兰学派研究工作的特点是,考虑了数学模型和实际系统 的差别、不等式约束、从实际系统引用反馈和时段(Time Horizone)划分等实际问题.本文对 该学派的工作给予了分析和评论.     

网络控制论系统的仿真分析*

主要从仿真的角度分析网络控制论系统。论述了网络控制论系统以及网络控制论系统仿真;介绍了网络控制论系统的仿真方法;以空间信息网络为例,从仿真的内容和目标两个方面对系统进行描述,给出了仿真系统的组成以及仿真过程,体现了仿真分析的意义。     

动力系统事故分析和处理的逻辑控制

本文试图按照控制论的概念,利用逻辑控制技术来解决动力系统事故分析和处理这样一个重要而又复杂的问题.文中扼要地阐明了这种逻辑控制系统的设计原则,给出了它的结构图以及典型逻辑控制单元的电路图和实验结果.     

动力系統事故分析和处理的逻輯控制

本文试图按照控制论的概念,利用逻辑控制技术来解决动力系统事故分析和处理这样一个重要而又复杂的问题.文中扼要地阐明了这种逻辑控制系统的设计原则,给出了它的结构图以及典型逻辑控制单元的电路图和实验结果.     

21世纪控制论的发展态势: 纪念控制论创立70周年(1948–2018)(评论)

论文认同控制论应定位为技术科学.它的核心部分(基本原理或核心理念)和它的各分支是一个整体.并认为控制论的发展必定是波浪式.据此才能对控制论现今发展态势作出正确的估计和评价.论文汇总核心部分的14个基本原理或核心理念;核心部分和分支相辅相成地发展.在两者发展的基础上,控制论定义会再更新.最后论文列举出控制论各分支的研究热点.     

社会控制论及其进展

本文综述控制论应用于社会系统和社会过程的研究及其取得的成就; 介绍社会控制论的诞生、定义和定位; 叙述社会控制论的发展沿革; 小结了社会系统控制论研究的主要方法; 阐明社会控制论的有关主要理论、原理和技术. 在几个实例中, 介绍了自反控制模型、人类活动理论应用、人类前景的研究、基于人工社会的教室行为动态研究和中美知识产权谈判研究等. 最后本文给出分析和评论.     

正在形成控制论新分支的帅搏客学的研究进展(评述)

本文从控制论观点侧重在科技层面评述帅搏客学的研究.概述帅搏客研究的初创、展开、应用,以及向社会的扩散.简单介绍帅搏客研究在社会引起的伦理思考,以及分析帅搏客与脑-机接口关系.对帅搏客学研究的要点、难点及其技术框架加以讨论.本文给出搏客学旳新定义,认为它正形成控制论的新分支,并确认帅搏客研究已进入茁壮成长时期.最后,对帅搏客的定义、分类、机体-机器关系等加以分析、评议,并提出对今后的研究方向的思考.     

博弈控制论简述

博弈控制论是近年来出现的博弈与控制的交叉学科,虽然它融合了博弈和控制双方的工具和方法,但无论从研究对象,研究方法与现有的结论看,它都不完全从属于经典博弈或经典控制的范畴,因此,是一个具有自身特色的新学术生长点.本文的目的是对这个新方向做一个简述介绍,内容包括:i)基于博弈的控制;ii)基于势博弈的优化;iii)博弈中的状态空间方法;iv)国内几个研究博弈控制论的团队.最后,对博弈控制论的未来做一展望.     

溯源中国自动化发展之路——写在《工程控制论》出版50周年

相对论、量子力学以及控制论被认为是20世纪的三项伟大科学成就.1948年美国科学家维纳发表专著提出了控制论(Cybernetics).1954年,钱学森在美国出版<工程控制论>(Engineering cybemetics),把控制论发展为一门技术科学一工程控制论,成为推动控制论科学思想的代表人物之一.     

Hermite Interpolation Polynomial for Functions of Several Variables

Cybernetics and Systems Analysis - The Hermite interpolation problem in the Euclidean space is considered, where the value of the function of several variables and its first-order and second-order...     

Segmentation of convex cells with partially undefined edges

This paper presents an algorithm for segmentation of convex cells with partially undefined edges based on application of a marker-controlled watershed transform to a combination of a source grayscale image and the result of a “geodesic distance” morphological operation, applied to the result of binarization of a source image. The presented approach is used in computer image processing systems for analysis of several industrial materials. The text was submitted by the authors in English. Ilia V. Safonov received his MS degree in automatic and electronic engineering from Moscow Engineering Physics Institute/University (MEPhI), Russia in 1994 and his PhD degree in computer science from MEPhI in 1997. Since 1998 he is an associate professor of faculty of Cybernetics of MEPhI while conducting researches in image segmentation, features extraction and pattern recognition problems. Since 2004, Dr. I. Safonov has joint Image Enhancement Technology Group, Printing Technology Lab, Samsung Research Center, Moscow, Russia where he is engaged in photo, video, and document image enhancement projects. Konstantin A. Kryzhanovsky received the MS degree in cybernetics from Moscow Engineering Physics Institute/University (MEPhI), Russia in 2000. Since 2006 he is an assistant professor of faculty of Cybernetics of MEPhI. He is presently working towards his Ph.D. degree. His current research interests include image processing and pattern recognition. Gennady N. Mavrin received his MS degree in automatic and electronic engineering from Moscow Engineering Physics Institute/University (MEPhI), Russia in 1998. Since 2002 he is an assistant professor of faculty of Cybernetics of MEPhI. He is currently pursuing the PhD degree. His research interests include image segmentation and feature extraction problems.     

Natural Numbers in Trans-classic Systems

PART I

Mathematico-Philosophical Prolegomena

Part II of this essay was written before Part I and offered to the Third Annual Symposium of the American Society for Cybernetics as a topic of discussion. However, owing to unforeseen circumstances, the paper was not presented at the Symposium. This turned out to be a blessing in disguise. In order to conform to the time limit for oral presentation Part II was written in a highly condensed manner and there was no opportunity to elaborate on the general epistemological aspect which served as the starting point for the intended confrontation between natural numbers and structural systems of higher complexity than our traditional logic offers. We are determined to make up for this omission in Part I because we believe that the theoretical goal of Part II will be better understood if the present author clarifies his attitude toward the basic concept of organism and its mathematical treatment in cybernetic research.     

Mobile geoinformation systems

The geoinformation system for handheld computers (PDAs) makes it possible to solve a wide range of geographically dispersed data (GDD) processing problems. The developed program software (PS) based on effective models and GDD processing methods has allowed significantly increasing the GDD processing rate in PDAs. Yurii G. Vasin was born in 1940 and graduated from Gor’kii State University in 1962. He received his doctoral (doctor of science) degree in 1988 and was a recipient of the Prize of the Council of Ministers of the USSR in 1990. He is the director of the Research Institute of Applied Mathematics and Cybernetics of the State University of Nizhni Novgorod. His scientific interests include theoretical and applied computer science, pattern recognition and image processing, and information technologies, and he is the author of more than 100 publications. Sergei V. Zherzdev was born in 1976 and graduated from the State University of Nizhni Novgorod in 1999. He is a software engineer at the Research Institute of Applied Mathematics and Cybernetics of the State University of Nizhni Novgorod. His scientific interests include theoretical and applied computer science and data compression techniques. He is the author of 7 publications. Andrei A. Egorov was born in 1982 and graduated from the State University of Nizhni Novgorod in 2006. He is a programmer at the Research Institute of Applied Mathematics and Cybernetics of the State University of Nizhni Novgorod, and his scientific interests include hierarchical structures of data storage on mobile platforms. He is the author of 2 inventions and 7 publications.     

Formalization of Influence Processes of Fuzzy Time Flow on the Solution to Time Resource Distribution Problems

Cybernetics and Systems Analysis - This paper considers an approach to constructing fuzzy structured numerical sets, which is based on the principle of generating a fuzzy preimage with its...     

On N. Z. Shor’s three scientific ideas

The paper is devoted to the 75th anniversary of the Kyiv mathematician Naum Shor and is focused on his three central ideas: generalized gradient descent (1962), the use of linear nonorthogonal space transformations to improve the conditionality of ravine functions (1969), and dual approach for finding bounds of the objective function in nonconvex quadratic models (1985). Examples of the application of these ideas in methods and algorithms developed at the V. M. Glushkov Institute of Cybernetics of the NAS of Ukraine are given.     

Quantum simulation of structure switching in a molecular system

This article presents the results of ab initio quantum simulation of graphite-like structure formation from amorphous carbon. It is devoted to explaining a resistivity switching mechanism in experiments on phase-change memory. In this work, a two-scale molecular dynamics model is used, which consists of Car-Parrinello quantum molecular dynamics (CPMD) and modified Ehrenfest molecular dynamics. The results of simulation point out to the appearance of a layered graphite-like molecular structure at an increase in temperature. These changes in the atomic configuration can be considered as a second-order phase transition in nanostructured material, which leads to threshold resistivity switching. For calculations, the IBM BlueGene/P supercomputer installed at the Faculty of Computational Mathematics and Cybernetics of Moscow State University was used.     

Image enhancement by total variation quasi-solution method

A new method of image restoration based on the quasi-solution method for a compact set of functions with bounded total variation is introduced. Application of this method does not require estimation of the noise level, which is necessary to choose the regularization parameter in the Tikhonov regularization method. The approbation of this method with test images shows its effectiveness for image deringing. The text was submitted by the authors in English. Andrey S. Krylov. Born 1956. Graduated from the Faculty of Computational Mathematics and Cybernetics, Moscow State University (MGU). Received the degree of PhD in 1983. Currently an associate professor and head of the Laboratory of Mathematical Methods of Image Processing at the Faculty of Computational Mathematics and Cybernetics, MGU. His main research interests lie in mathematical methods of multimedia data processing. Vladimir N. Tsibanov. Born 1982. Graduated from the Faculty of Computational Mathematics and Cybernetics, Moscow State University (MGU). He is currently a PhD student at the Faculty of Computational Mathematics and Cybernetics, MGU. His main research interests lie in variational methods in image processing. Alexander M. Denisov. Born 1946. Graduated from the Faculty of Mechanics and Mathematics, Moscow State University (MGU). Received the degrees of PhD in 1972 and doctor of science in 1987. Currently a professor and head of the Chair of Mathematical Physics of the Faculty of Computational Mathematics and Cybernetics, MGU. His main research interests lie in inverse and ill-posed problems in mathematical physics.