JournalTOCs

Automation and Remote Control
Journal Prestige (SJR): 0.328

Citation Impact (citeScore): 1
Number of Followers: 6

Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1608-3032 - ISSN (Online) 0005-1179
Published by Springer-Verlag

[2468 journals]

On the Features of Service Rate Control in Fork-Join Queueing System
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  Abstract: Abstract A classical fork-join queueing system is considered. The model is proposed for determining the optimal cost of such a system, taking into account the need to minimize the average response time simultaneously with reasonable costs for the resources required for this. The term “resources” within the framework of the mathematical model under study means the intensities of service on servers, the cost of which is directly proportional to the system performance, i.e., the rate of service requests. For the special case when the number of subsystems is equal to two, an exact analytical expression for determining the optimal cost is presented, for a more general case when the number of subsystems of a fork-join queueing system is greater than two, equation is obtained, the numerical solution of which allows calculating the desired value. In addition, the asymptotic analysis of the obtained solutions behavior is carried out.
  PubDate: 2024-12-01
AUV Positioning and Motion Parameter Identification Based on Observations
with Random Delays
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  Abstract: Abstract A stochastic observation system model with random time delays between an arriving observation and the factual state of a moving object is adapted to identify its motion parameters. Equations for optimal Bayesian identification are given. A conditionally minimax nonlinear filter (CMNF) is applied to solve the problem in practice. The design procedure of the CMNF, including the choice of the filter structure, is discussed in detail on an example of autonomous underwater vehicle (AUV) positioning based on observations of stationary acoustic beacons. A computational experiment is carried out on a model close to practical needs using three variants of the filter, namely, the typical approximation of the updating process, the method of linear pseudomeasurements, and the geometric interpretation of angular measurements.
  PubDate: 2024-12-01
Output Feedback Design in Discrete-Time Control Systems As an Optimization
Problem
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  Abstract: Abstract This paper proposes a novel approach to rejecting nonrandom bounded exogenous disturbances in linear discrete-time control systems by means of dynamic output feedback. The approach is based on reducing the original problem to a matrix optimization problem with the gain and observer matrices as the variables. A gradient descent method for finding dynamic output feedback is derived and justified.
  PubDate: 2024-12-01
Order Statistics of the Normalized Spectral Distribution for Detecting
Weak Signals in White Noise
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  Abstract: Abstract This paper further develops the topic of the authors' previous research. In particular, order statistics of the discrete normalized spectral distribution of the additive white Gaussian noise are investigated to detect a deterministic useful signal in a noise mixture using information features. An additional relationship is established between the discrete spectral distribution of the single-window realization statistics of the white noise. Another novel result consists in exact formulas for calculating the mean and variance of normalized order statistics. Based on the analytical expressions derived, a new formula for calculating the spectral complexity is proposed and the already known one is refined. The theoretical results are verified by statistical simulation.
  PubDate: 2024-12-01
A Method of Optimal Investment with Stage-by-Stage Conditional Value at
Risk (CVaR) Constraints and Known Parameters of Return Vectors
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  Abstract: Abstract The paper investigates a multi-stage investment problem under Conditional Value at Risk (CVaR) constraints with: a given security level for bankruptcy, short selling permission, a normal and an elliptical total return distribution models. The purpose of the work is to find a method of determining the optimal investment in this problem at each stage. As a result of the study, an optimal investment strategy is found and it is shown that the optimal investment portfolio at each stage does not depend on the value of the investor’s capital, but depends only on the number of stage. It is shown that the multi-stage problem can be reduced to a finite number of one-stage optimization problems, which are problems of conic programming. For the one-stage problem, conditions for the non-emptiness of the set of admissible portfolios are given and the Kuhn–Tucker theorem is applied. Additionally, this paper presents a numerical example of finding the optimal investment based on the open data on rates of assert prices of companies on the stock exchange.
  PubDate: 2024-12-01
On an Approach to Solving the Time-Optimization Problem for Linear
Discrete-Time Systems Based on Krotov Method
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  Abstract: Abstract In the paper, we develop a method for studying the time-optimization problem for a linear system with discrete time, which allows, in the general case, to improve known upper estimates of the objective function and to find guaranteeing control processes. We obtain sufficient conditions for convergence to the optimal solution in the problem and implement the method as an effective numerical algorithm.
  PubDate: 2024-11-01
Investigation of Triangle Counts in Graphs Evolving by Clustering
Attachment
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  Abstract: Abstract The clustering attachment (CA) model proposed by Bagrow and Brockmann in 2013 may be used as an evolution tool for undirected random networks. A general definition of the CA model is introduced. Theoretical results are obtained for a new CA model that can be treated as the former’s limit in the case of the model parameters α → 0 and $$\epsilon $$ = 0. This study is focused on the triangle count of connected nodes at an evolution step n, an important characteristic of the network clustering considered in the literature. As is proved for the new model below, the total triangle count Δn tends to infinity almost surely as n → ∞ and the growth rate of EΔn at an evolution step n $$ \geqslant $$ 2 is higher than the logarithmic one. Computer simulation is used to model sequences of triangle counts. The simulation is based on the generalized Pólya–Eggenberger urn model, a novel approach introduced here for the first time.
  PubDate: 2024-11-01
Modeling and Stabilization of Conveyor Transport Systems with Intelligent
Control
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  Abstract: Abstract This paper deals with a generalized mathematical model of a controlled belt conveyor with a variable angle between the horizontal and belt planes. The model is defined using a system of four nonlinear differential equations with switching. It includes the linear movement of the conveyor belt, changes in the system momentum, axial and linear friction, the damping of the horizontal position of the conveyor, and the factors of smooth loading and instant unloading of cargo. Stabilization conditions are established for this model considering simulation components related to the nature of loading and unloading modes of the conveyor belt. A PID controller, a neuro-PID controller, and neural network controllers of recurrent and non-recurrent types are designed to control the angular position of the conveyor. Linear velocity control is implemented by introducing a sliding mode. Computational experiments are carried out and given an interpretation. The performance of the controllers mentioned above is comparatively analyzed.
  PubDate: 2024-11-01
Diagnosis of Uncertain Systems with Arbitrary Relative Degree and Unknown
Input
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  Abstract: Abstract The problem of detecting sensor and actuator faults for a class of multivariable systems with arbitrary relative degree is considered. The proposed solution is based on the synthesis of unknown input observers. A modification is proposed that ensures a predefined convergence time, which is based on the dynamic regressor extension and mixing method and the Kreisselmeier scheme. The obtained solution is extended to the class of nonlinear systems with parametric uncertainties. Simulation results are provided to illustrate the effectiveness of the proposed approach.
  PubDate: 2024-11-01
Approaches to Optimizing Guidance Methods to High-Speed Intensively
Maneuvering Targets. Part I. Justifying Requirements for Ways to Optimize
Guidance Methods
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  Abstract: Abstract High-speed aircraft capable of complex spatial maneuvers and having several technical, economic, and tactical advantages are increasingly used in aerospace warfare. In this regard, a topical problem is to optimize interception systems for such targets. The operation features of interception systems are considered based on analyzing flight path features of high-speed aircraft. Requirements for ways to optimize guidance methods are formulated.
  PubDate: 2024-11-01
Structural Spectral Methods of Solving Continuous Generalized Lyapunov
Equation
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  Abstract: Abstract Methods and algorithms for obtaining analytical formulas for spectral decompositions of gramians for bilinear multi-connected continuous stationary stable systems with a simple spectrum are developed. A guaranteed limited area of distribution of methods for solving and analyzing linear control systems to a class of bilinear systems is found. New sufficient conditions for BIBO stability of bilinear systems are developed. The obtained spectral decompositions of solutions by the spectrum of the dynamics matrix of the linear part, as well as the spectrum and residues of the images of actions, allow us to estimate their influence on the stability and dynamic characteristics of the bilinear system.
  PubDate: 2024-10-01
Extended Lanchester–Osipov Model for Accounting Combat Units with Single
Burst Effect in Strategic Computer Games
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  Abstract: Abstract A model has been constructed that describes the confrontation between two armies, each of which simultaneously contains two types of combat units: with continuous and discrete fire. The structure of the optimal army composition, compiled as a response to the known composition of the enemy army, has been studied. To test the theory, simulations of battles were carried out in a simple strategic game—autobattler.
  PubDate: 2024-10-01
Models of Equipment Selection for Modernization of Enterprises with
Conveyor Assembly of Products
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  Abstract: Abstract The article deals with problems of equipment selection and replacement arising during modernization of machine-building enterprises, where the assembly of manufactured products is carried out on conveyors. The author proposes methods for these tasks, which allow determining types and quantity of equipment, which should be purchased and which it is expedient to get rid of during modernization of enterprises.
  PubDate: 2024-10-01
System Dynamics Models for Control the Road Transport System of a Mega
City
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  Abstract: Abstract We have developed a set of system-dynamic models for managing the road transport system of a metropolis, taking into account traffic safety indicators. We determined the main indicators of the road transport system in accordance with the Road Safety Strategy in the Russian Federation for 2018–2024, as well as on the basis of regulatory documents of the State Traffic Inspectorate of the Ministry of Internal Affairs of Russia for the city of Moscow. The results of the work are intended to improve the mathematical support of traffic control systems in large cities.
  PubDate: 2024-10-01
Hierarchical Games and Computational Procedures in the Linear Case
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  Abstract: Abstract The prerequisites for the emergence of the theory of hierarchical games are described. The models are described and linked to a set of articles that give an idea of the key problems and the fundamental results obtained. Attention is paid to practical applications. The basic concepts and provisions are illustrated by solutions in the case of linear problems. In conclusion, the need for further research in the field of computational methods is noted.
  PubDate: 2024-10-01
Wave and Physical-Chemical Methods for Managing the Development of Oil
Fields with Anomal Reserves
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  Abstract: Abstract When extracting oil from reservoirs, the use of active physical and chemical reagents in combination with high-frequency wave oscillations as control actions leads to an increase in the oil recovery factor due to the involvement in the process of displacement of reserves that cannot be recovered by traditional flooding (with the injection of water into injection wells). The article presents results of numerical experiments using a mathematical model of cylindrical waves in the direction of the filtration flow of fluids; the effectiveness of cyclic control wave influences is shown. Complex problems associated with the application of hydrodynamic methods to weakly discontinuous vibrations in an inhomogeneous medium are noted and ways to resolve these problems are indicated. It is shown that the proposed combined methods of control influences on the process of filtration displacement of anomalous and difficult-to-recover oil fractions from oil-saturated porous media of natural deposits provide an increase in the final oil recovery factor by potentially 10–15%.
  PubDate: 2024-10-01
Optimization and Simulation Approach to Determining Critical Combinations
of Company Parameters
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  Abstract: Abstract We propose an optimization-simulation method for determining combinations of influences that make it possible to remove an organizational and technical system from a potentially unfavorable state. We demonstrate the solution using the example of the inverse problem of stress testing mature companies in traditional industries of the real sector. A condition for a company to be in a potentially unfavorable state is a projected negative cash balance. To determine changes that improve the forecast, mathematical programming methods solve the problem of maximizing the benefits from such changes—the difference between the predicted cash balance and the costs of changes. The results obtained can be applied when solving issues of stabilization under risk conditions: pandemics, economic sanctions, natural disasters, etc. A model example is given.
  PubDate: 2024-10-01
Introductory Remarks to the Special Issue Devoted to MLSD 2023
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  PubDate: 2024-10-01
Spectral Decompositions of Inverse Gramian Matrices and Energy Metrics of
Continuous Dynamic Systems
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  Abstract: Abstract The article is aimed at developing new algorithms for element-by-element calculation of matrices of direct and inverse gramians for stable continuous linear MIMO LTI systems based on spectral decompositions of gramians in the form of Hadamard products. It is shown that the multiplier matrices in the Hadamard product are invariant under various canonical transformations of linear continuous systems. Spectral decompositions of inverse matrices of gramians of continuous dynamic systems from the spectra of gramian matrices and the original dynamics matrices are also obtained. The properties of the multiplier matrices in spectral decompositions of gramians are studied. Using these results, spectral decompositions of the following energy metrics were obtained: of the volumes of attraction ellipsoids, of the matrix traces of direct and inverse controllability gramians, of the input and output system energies, of the centrality indices of energy controllability metrics and of the average minimum energy. The practical applicability of the results is considered.
  PubDate: 2024-10-01
On Samples of Satellite Measurement Data for Constructing a Global Model
of the Magnetic Field of Mars
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  Abstract: Abstract In this work, we explore the challenges associated with the formation of satellite measurement datasets for constructing models of Mars’ magnetic field. Several approaches to dataset construction have been proposed and implemented. Using the regional method of S-approximations, analytical approximations of the magnetic field have been developed, and analytical continuations of the field to a uniform selected altitude have been presented. Calculations were performed for an area of Mars that includes the landing sites of the InSight spacecraft and the Chinese rover Zhurong. The modeling was based on datasets derived from calibrated insitu.calibrated level 2 data of the MAVEN mission.
  PubDate: 2024-10-01

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