The paper considers the process of repair and maintenance of server equipment used for the formation of departmental information infrastructure. The process of performing repair work on multiple servers is described using the theory of queuing. The problem of optimal reliability management of server equipment is formulated, taking into account the limitations on the resources used. The necessary optimality conditions for the problem in the form of the Pontryagin maximum principle are obtained. The boundary value problem of the maximum principle is given. In order to obtain an algorithm for constructing an approximate solution by gradient methods, the problem is reduced to a discrete optimal control problem, for which a wide range of numerical methods is available.
Keywords: information infrastructure, server equipment, reliability, optimal management, necessary conditions of optimality, the principle of maximum
The paper considers a mathematical model of an artificial neural network with a delay in the arguments of the state and control functions, designed to control a robotic complex during emergency rescue operations in extreme conditions. The learning process of the considered artificial neural network is described by the problem of optimal control with a delay. Using the Pontryagin maximum principle and the method of rapid automatic differentiation, a method for solving the resulting optimal control problem has been developed. The results of the work of the software tool, the creation of which uses an algorithm for constructing an approximate optimal control of the problem under consideration.
Keywords: emergency rescue operations, artificial neural network, neurocontrol, robotics, maximum principle, safety
The paper considers the model of management of maintenance of the transport fleet of the territorial body of the Penal System of the Russian Federation. Using the theory of queuing, possible states of the system are identified, a graph of states is constructed, a system of differential equations describing the dynamics of the process under consideration is given, taking into account the application of the prioritization scheme when carrying out maintenance and repair of vehicles. In order to refine the model, it is proposed to use a neural network model (multilayer perceptron) to calculate the failure rates and restore special vehicles. Calculation formulas for the implementation of the learning algorithm of the considered artificial neural network by the method of error back propagation are given. The model proposed in the work can be used to build automated decision support systems in the field of operation and repairs, as well as to improve the material and technical support of institutions and bodies of the Penal System of the Russian Federation.
Keywords: maintenance, reliability, queuing system, multilayer perceptron, error back propagation method, special transport of the Penal System
The paper considers a model for managing the reliability of an intelligent video surveillance system of a protected object. To build a model of the operation of a security television system with video analytics modules, a scheme of a multiphase queuing system was used. The process of constructing a computer model for evaluating the quality indicators of processing information entering the system is described. The given computer model provides an opportunity to assess the reliability of the system in question in a wide range of parameters and can be used in the design, operation and modernization of intelligent video surveillance systems to increase their reliability and ensure the possibility of making effective management decisions.
Keywords: intelligent video surveillance, integrated security, reliability, multiphase queuing system, protected facilities of the Penal System
The paper considers a model of security equipment reliability management using optimal control methods and data mining. An algorithm is given for finding a maintenance and repair management strategy that provides decision support in a wide range of system parameters changes. The possibility of automating the search for optimal solutions to the problem of increasing the reliability of security equipment is investigated on the example of the information system of analysis and predictive diagnostics of technical objects of the IS "Analyst", and the prospects for the use of neurofeedback in the tasks of increasing the reliability of complex technical systems are considered.
Keywords: security system, reliability of technical systems, optimal control, necessary conditions of optimality, neurofeedback
The paper considers a model for managing the reliability of a data transmission network used by an executive authority to organize access to state information resources. The process of constructing a computer model of the system for assessing the availability factor is described. The constructed computer model provides an opportunity to assess the reliability of the system in question in a wide range of parameters and can be used in the design, operation and modernization of the organization's information and telecommunications network to increase its reliability.
Keywords: information and telecommunication network, provider, routing, reliability, state information resource
The paper considers the use of an artificial neural network for modeling a control system for extinguishing large fires in the institutions of the Penal System, considered as a queuing system, for calculating the parameters of which a trained neural network can be used, which allows to quickly assess the effectiveness of the system in rapidly changing conditions.
Keywords: emergency response, fire safety, queuing system, artificial neural network
In the work, using the queuing theory apparatus, a mathematical model for managing the reliability of software and special-purpose computer networks used in the system of ensuring the integrated security of institutions and UIS bodies is constructed. Computer networks and software can be considered as a managed queuing system in which management is carried out by managing the discipline of servicing applications and its structure, changing the intensity of queue servicing, introducing control actions on the flow of applications or in another way. The paper for the first time proposes an approach according to which the optimization problem of the controlled queuing system under consideration with a dynamic discipline of application service is formulated as an optimal control problem with phase constraints and can be solved using numerical algorithms.
Keywords: special purpose software, controlled queuing system, Euler scheme, optimal control, rapid automatic differentiation method
The paper discusses methods for improving the efficiency of perimeter security systems through the use of neural network signal processing technologies that serve to increase the information content of data coming from security detectors. The proposed approach allows not only to establish in a timely manner the fact of illegal actions to overcome the perimeter of the object, but also to classify the violator with a minimum level of false positives. Special attention is paid to the issues of optimal control of the reliability of signal processing units with a logical neural network analyzer, considered as queuing systems.
Keywords: integrated security, security detector, detection zone, signal processing unit, artificial neural network, neural network signal processing, reliability, queuing system, optimal control, maximum principle