scholarly journals The scientific analysis of risks in life-support of a person, a society and the state

2019 ◽  
Vol 16 (2) ◽  
pp. 70-86 ◽  
Author(s):  
N. A. Makhutov ◽  
M. M. Gadenin ◽  
O. N. Yudina

It is showed that the key factor at the solution of problems of an estimation and control of risks for social, natural and technogenic spheres is use of the concept of the analysis and monitoring of the risks, founded on determination of base parameters of a current and probable dangerous state of analyzed socially-natural-technogenic system. Importance of safety maintenance and protect-ability tasks of basic practices and appearances in such system is interlinked to spreading of scientific possibilities and actual methods of decrease of risks, and also with an in-depth analysis of a spectrum of dangers, defiances, threats, crises, emergency situations, disasters at increment of losses from them to a person, a society, the state, an environment and an ability to live of infrastructure. The universal quantitative measure of probabilities of initiation and implementation of the indicated unfavorable events and processes in a combination to accompanying them losses are risks of the stacked state and prospects of evolution of considered system. Builted on results of corresponding comprehensive analysis the theory, algorithms and program complexes for determination, maintenances and raises of protectability of objects in social, natural and technogenic spheres taking into account the bundled to them risks are scientific baseline for a justification of decrease of their interlinked values to acceptable level. Making and service of objects and an infrastructure of ability to live for a person, a society and the state on the basis of a meeting the requirements to acceptable levels of risks and to guard of objects from accidents and disasters present an essence of transition to new level of the state strategic planning certified to the strategy of national safety of Russia.

Author(s):  
Samuel E. Otto ◽  
Clarence W. Rowley

A common way to represent a system's dynamics is to specify how the state evolves in time. An alternative viewpoint is to specify how functions of the state evolve in time. This evolution of functions is governed by a linear operator called the Koopman operator, whose spectral properties reveal intrinsic features of a system. For instance, its eigenfunctions determine coordinates in which the dynamics evolve linearly. This review discusses the theoretical foundations of Koopman operator methods, as well as numerical methods developed over the past two decades to approximate the Koopman operator from data, for systems both with and without actuation. We pay special attention to ergodic systems, for which especially effective numerical methods are available. For nonlinear systems with an affine control input, the Koopman formalism leads naturally to systems that are bilinear in the state and the input, and this structure can be leveraged for the design of controllers and estimators. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 4 is May 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


Author(s):  
V. V. Antonchenko

The article analyzes the activities of supervisory authorities in implementing control and supervisory measures in the field of fire safety. The author believes that today the society lives in the conditions of imitation of activity in this important area, which is not related to the real provision of fire safety. One of the circumstances allowing drawing such a conclusion is the transfer of fire safety supervisory functions and control powers to nongovernmental institutions.Based on the analysis of the mechanisms of fire safety control and supervision — both the state fire supervision bodies under the Ministry of Emergency Situations of Russia and companies providing services for the fire audit — the conclusion is made about inadmissibility of eliminating the State from the principal, active and purposeful work on fire prevention and narrowing the powers of state bodies in this extremely important and, at the same time, very problematic area. The author believes that the neglect of the need to maintain a high level of fire safety, including by legal means, significantly weakens the level of protection of an individual and a society from fires.


Author(s):  
V. P. Kulagin ◽  
D. A. Akimov ◽  
S. A. Pavelyev ◽  
E. O. Guryanova

A method is proposed for recognizing pre-emergency conditions of rotary installations based on the use of the Hamming window and advanced Deep Learning techniques in retrospective analysis of the results of accounting for the factors of operation of a turbine generator, diagnostics and control under critical impacts. A program of experimental studies on the model of a turbine plant with simulation of faults and receiving vibration signals has been developed. An experiment based on the homostatic method of checking the signal with Hamming windows, in the frequency, time and modulation domains and common initial data, allows one to determine the most promising signal characteristics for identification. A method has been developed for monitoring the state of turbine generators in an automatic mode for timely notification of the CHPP personnel about the appearance of signs of pre-emergency situations, as well as about the nature of faults by the method of predicting the state of a pre-emergency situation using convolutional neural networks implemented in the form of a recurrent autoencoder. Clustering is applied and clusters are identified that correspond to the spectrograms of pre-emergency situations. The effectiveness of the use of the homostatic method in combination with correlation analysis is based on the decision-making model described in more detail in other works.


2017 ◽  
Vol 139 (12) ◽  
Author(s):  
Zilong Shao ◽  
Gang Zheng ◽  
Denis Efimov ◽  
Wilfrid Perruquetti

In this paper, the problem of output control for linear uncertain systems with external perturbations is studied. First, it is assumed that the output available for measurement is only the higher-order derivative of the state variable, instead of the state variable itself (for example, the acceleration for a second-order plant), and the measurement is also corrupted by noise. Then, via series of integration, an identification algorithm is proposed to identify all unknown parameters of the model and all unknown initial conditions of the state vector. Finally, two control algorithms are developed, adaptive and robust; both provide boundedness of trajectories of the system. The efficiency of the obtained solutions is demonstrated by numerical simulation.


2016 ◽  
Vol 28 (6) ◽  
pp. 878-886 ◽  
Author(s):  
Ryan Arya Pratama ◽  
◽  
Akihisa Ohya

[abstFig src='/00280006/12.jpg' width='300' text='UAV state estimation from laser scanner' ] In this work, we present a system to estimate the state of and control an Unmanned Air Vehicle (UAV) from a ground-based 3D laser scanner. The main contributions of this work are on data fusion between a low-frequency 3D laser scanner with considerable delay and an on-board 6-DOF IMU, and on automatic position control of a UAV using state estimate obtained from the fusion. We measured laser delay using data from a manually controlled flight. We have devised a method to perform online estimation and compensation of accelerometer offset using delay-corrected laser measurement. We then use the UAV state estimation in a nested controller with a high-frequency velocity control inner loop and a low-frequency position control outer loop. We demonstrated the state estimation and control in a series of experiments on velocity control and position control, including a comparison between position control using fusion data and only laser data.


2014 ◽  
Vol 91 (4) ◽  
pp. 43-55
Author(s):  
Scott Pittman

The story of anti-communism in California schools is a tale well and often told. But few scholars have appreciated the important role played by private surveillance networks. This article examines how privately funded and run investigations shaped the state government’s pursuit of leftist educators. The previously-secret papers of Major General Ralph H. Van Deman, which were opened to researchers at the National Archives in Washington, D.C., only a few years ago, show that the general operated a private spy network out of San Diego and fed information to military, federal, and state government agencies. Moreover, he taught the state government’s chief anti-communist bureaucrat, Richard E. Combs, how to recruit informants and monitor and control subversives. The case of the suspicious death of one University of California, Los Angeles student – a student that the anti-communists claimed had been “scared to death” by the Reds – shows the extent of the collaboration between Combs and Van Deman. It further illustrates how they conspired to promote fear of communism, influence hiring and firing of University of California faculty, and punish those educators who did not support their project. Although it was rarely successful, Combs’ and Van Deman’s coordinated campaign reveals a story of public-private anticommunist collaboration in California that has been largely forgotten. Because Van Deman’s files are now finally open to researchers, Californians can gain a much more complete understanding of their state bureaucracy’s role in the Red Scare purges of California educators.


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